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HoneyBook is a comprehensive client management platform that helps small businesses streamline their operations. It combines the functionality of a CRM with invoicing, contract management, scheduling, and more into one easy-to-use package.

The CRM platform is designed to handle the full client lifecycle, from initial contact through project completion and payment. You can manage all client communication, share files and proposals, get contracts signed, send invoices, and collect payments without leaving HoneyBook.

Where this CRM really shines is its powerful automation features. You can set up customized workflows to automatically move projects forward, send reminders, and follow up with clients. This allows small teams to operate efficiently and stay on top of all their client relationships.

HoneyBook CRM core capabilities

(Image credit: HoneyBook)

HoneyBook is an accounting tool with a basic CRM, designed to enhance business operations for small businesses and solo entrepreneurs. It offers essential CRM functions like contact management, an intuitive sales pipeline, and automated workflows to reduce manual tasks.

HoneyBook also offers user-friendly contact forms, which effortlessly capture lead information and create new contacts and projects in your pipeline. Plus, it provides tools for important administrative tasks such as invoicing, contracts, and scheduling.

Its interactive smart files let you combine actions like service selection, contracts, and invoicing for a smooth client experience. Automated payment reminders help ensure timely payments. You can create professional invoices, set custom payment plans, and collect payments online through credit card or bank transfer - all within HoneyBook.

Legally vetted contract templates are customizable with project details, pricing, and e-signature options. Scheduling is managed through a personalized client portal that syncs with your Google or iCloud calendar, preventing double-bookings. All client communications are organized within the relevant project for easy reference.

While not as advanced as specialized solutions, HoneyBook offers basic tools for tracking performance insights. You can monitor key metrics like conversion rates, project value, and payment status. However, I hope that future updates will enhance the reporting functionality with more CRM-specific KPIs.

But, HoneyBook focuses primarily on client projects. It lacks traditional CRM features such as lead scoring, opportunity tracking, territory management, or sales forecasting. However, for service-based businesses, HoneyBook's workflow is ideal for managing client engagements from start to finish.

I’m also impressed by HoneyBook's mobile apps for iOS and Android, which provide full functionality for working on the go. You can send invoices, receive payments, and manage projects from anywhere. Desktop users will benefit from Gmail and Calendly integrations.

How easy is HoneyBook CRM to use?

(Image credit: HoneyBook)

HoneyBook provides an intuitive and user-friendly interface that makes it easy to get up and running quickly, even for those without prior experience using a CRM. The clean, modern design is simple to navigate, with features logically organized in the left sidebar and settings accessible from the top menu.

To help new users get started, HoneyBook offers a helpful 30-minute Quick Start onboarding session that covers the key areas to focus on for setting up your account. There are also on-demand video courses available with over 50 step-by-step lessons.

I really like how the drag-and-drop pipeline tool makes it a breeze to customize your sales stages and client flow. You can easily create custom contact fields, email templates, questionnaires and contracts to streamline your processes. The visual pipeline view provides a great snapshot of where each lead/client is at.

HoneyBook also provides strong accessibility options, including a high contrast mode and the ability to navigate most of the interface using just a keyboard. The forms and client portal are mobile-responsive and look great on smaller screens.

While the breadth of features may seem overwhelming at first, most users report feeling comfortable with the core functionality after just a few hours of exploring and watching tutorials. The average time to get fully up and running seems to be around 2-4 weeks, factoring in time to thoughtfully configure your account, import data, and test your workflows.

Overall, HoneyBook is one of the most user-friendly CRM options I've come across for small businesses and freelancers. The modern design, strong customization options, and well-produced help resources make it accessible to a wide range of tech comfort levels. While it may take a few weeks to fully optimize your account, the core features can be learned in a matter of days, enabling you to start seeing the benefits quickly.

HoneyBook CRM integrations

When it comes to integrations, HoneyBook offers a solid set of capabilities that allow it to connect with the other tools small businesses rely on.

The CRM provides several pre-built integrations out of the box, including ones for QuickBooks accounting, Gmail for email, Calendly for scheduling, Facebook, and the popular automation platform Zapier. These native integrations make it easy to sync data and automate workflows between HoneyBook and these key external systems.

For custom integrations, HoneyBook also provides a full-fledged API. Developers can use the API to build integrations that allow reading and writing data between HoneyBook and virtually any other application. The company provides comprehensive API documentation and code samples to help with the integration process.

In testing out some of HoneyBook's built-in integrations, I found the data syncing between apps to be fast and reliable overall. Connecting a new app is also a straightforward process from the integrations settings page.

One potential downside is that, while HoneyBook offers a Zapier integration, it does not appear to directly integrate with some other popular iPaaS (Integration Platform as a Service) vendors like Make. However, Zapier alone enables support for thousands of integrations.

HoneyBook also provides some nice features to make managing integrations easier for non-technical users. The ability to retrieve your API key and manage 3rd-party app connections from the integrations dashboard is convenient.

Overall, HoneyBook covers the bases well in terms of supporting integrations. The combination of key direct app integrations, Zapier support, and a full API provides ample options for connecting data and workflows with external tools. While a few more iPaaS integrations would be nice to see, HoneyBook still offers solid capabilities for most small business integration needs.

How good is HoneyBook CRM support?

When it comes to customer support, HoneyBook has received mixed reviews.

The company offers live chat and email support channels, but does not provide phone support, which some customers find frustrating. Response times can vary, with some users reporting prompt and helpful replies while others have experienced delays of hours or even days to hear back, especially on weekends.

On the plus side, many users praise the friendliness and attentiveness of HoneyBook's support team when they are able to connect. The live chat tends to be the quickest way to get answers. I also found out that HoneyBook provides a fairly robust library of self-service resources, including a searchable knowledge base, tutorials, and webinars to help users troubleshoot issues on their own.

However, the quality and consistency of live support seem to be hit or miss. In my research, I came across a number of complaints about "pass-the-buck" responses and difficulty getting timely help with urgent problems. One reviewer even called it the "worst customer experience ever." Yet others rave about how HoneyBook's excellent support has made their lives easier.

Overall, HoneyBook appears to be working to provide solid customer service, with a capable and caring support staff. But the lack of live phone support and inconsistent response times are definite drawbacks compared to some other CRMs. The company could improve by expanding real-time support options and ensuring more reliable follow-up.

For many satisfied HoneyBook users, the support is good enough, and the product's benefits outweigh any frustrations. But if reliable and always-available customer service is a top priority for your business, it's worth carefully evaluating the support limitations before committing to the platform.

HoneyBook CRM pricing and plans

Plan

Starter

Essentials

Premium

Price

$29/user/month

$49/user/month

$109/user/month

Best For

New businesses, low client volume

Growing businesses, increased efficiency

Established businesses, advanced needs

Features

Unlimited clients/projects

Invoicing and payments

Basic reporting

All features from Starter plan

Automations

Scheduling tool

All features from Essentials plan

Priority support

Advanced reporting

Limitations

No automations or scheduling tool

Limited reporting capabilities

May be costly for very small businesses

HoneyBook offers three main pricing plans to fit the needs and budget of different types of businesses. The Starter plan at $29 per month, billed annually, provides the core CRM features like unlimited clients and projects, invoicing, contracts, and a client portal. This is a great entry-level option for solopreneurs just getting started with a CRM system. However, it's worth noting that HoneyBook heavily restricts the backend on this tier: it limits the system to a single user profile and completely disables native automated workflows and interactive scheduling widgets.

For growing businesses that need more advanced features, the Essentials plan at $49 per month (billed annually) adds a lot of valuable capabilities. Automated workflows, scheduling, QuickBooks integration, and support for up to 2 team members can really streamline operations. Plus you can remove HoneyBook branding and access more robust reporting.

Larger teams will appreciate the Premium plan at $109 per month annually. It supports unlimited team members for collaboration and introduces priority technical support, advanced profit-and-loss reporting frameworks, and multi-company account toggles, letting you run entirely distinct brands out of a single centralized administrative dashboard.

You can start with a 7-day free trial to test out if the platform is a good fit before committing. While this is still less than the industry standard, having a free trial at all is a welcome feature that new users will appreciate.

Across all plans, you'll pay less on a monthly basis by choosing annual billing, which effectively gets you two months free compared to the month-to-month prices. Keep in mind the listed prices don't include applicable sales tax. But overall, HoneyBook's pricing is very competitive and transparent, without a lot of confusing add-ons or upcharges that some other vendors tack on.

My take is that HoneyBook provides a lot of value for the cost, especially for small businesses and self-employed professionals looking for an intuitive all-in-one system to manage their clients and business. While it may lack some of the deeper customization of pricier CRMs, the thoughtful feature set and interface you get for the price make it a compelling option in my book.

How we tested HoneyBook

At TechRadar Pro, our business software assessments go significantly deeper than simply summarizing marketing spiel. To truly evaluate HoneyBook's capabilities as a unified client relationship and cash-flow engine, our analysts put the platform through a practical testing process designed to replicate the day-to-day operations of an independent, service-based business.

Our CRM testing methodology looks at the platform's end-to-end client lifecycle tracking, smart file architecture and document stitching, workflow automation, AI efficiency loops, and the mobile ecosystem. Altogether, we try to assess more than just the core capabilities - but niche features and new developments too.

HoneyBook CRM review: Final verdict

After thoroughly evaluating HoneyBook, I've found it to be an excellent all-in-one CRM solution for small service-based businesses, freelancers, and independent professionals. The platform shines in its ability to streamline the entire client lifecycle, from initial contact to invoicing and payment.

HoneyBook's intuitive interface and robust feature set make it accessible to entrepreneurs and small teams without extensive technical expertise. And while larger enterprises with complex sales cycles may require more advanced CRM capabilities, HoneyBook is perfectly suited for small service providers looking for an affordable, user-friendly system to nurture leads and manage client engagements from start to finish.

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In this installment of NPR's Word of the Week, we go to camp: from 16th-century military lodgings to the wilderness adventures of the 1880s designed to turn boys into "manly men."

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A Trump executive order pushes involuntary treatment for homeless people; the VA denies that would include homeless vets.

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World Cup games are underway in Philadelphia. Long before Americans caught the world's soccer craze, Ukrainian migrants made Philly a soccer town. Today, the sport helps sustain their culture.

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President Trump blew up what could have been a win for his party — and he did it to force lawmakers to pass an elections overhaul bill that has been all but doomed in the Senate.

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Psychotherapist Merle Bombardieri has been helping couples with this conundrum for decades. She shares four exercises to bring clarity to the situation — and find a solution that minimizes regret.

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A confusing patchwork of state laws began to take shape hours after the Supreme Court ruled to overturn Roe v. Wade on June 24, 2022. Here's where things stand now on the abortion issue.

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Foreign-owned businesses have been attacked, migrants driven from their homes, and several killed. A leading xenophobic group has given all undocumented immigrants until June 30 to leave the country.

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So You Want to See The President! depicts a procession of visitors waiting to see Franklin Delano Roosevelt. The original 1943 Rockwell suite of illustrations goes on public view Thursday in D.C.

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Fertilizer prices have gone down with the reopening of the Strait of Hormuz and the prospect of a U.S.-Iran peace deal. But struggling American farmers won't likely see any relief for months.

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Operational performance is becoming just as important as investment performance in private credit.

As fundraising slows and investor expectations increase, firms are facing growing pressure to modernize the IT infrastructure supporting their portfolios.

In fact, transparency and faster reporting are becoming top priorities.

Without such capabilities, funds can’t clearly see across their own portfolio, amplifying stress when markets are less forgiving.

Especially as private credit scales and operational diligence become more central to allocation decisions, such back-office issues become something more structural.

Fortunately, managers that properly invest in their operational foundations now, will be better equipped to manage the increasing demands facing the private credit industry moving forward.

Analyzing Operational Pressures

Private credit is operationally intensive. And many firms never built systems to match the increasing complexity of their portfolios as they grew and evolved. Instead, operations are often spread across legacy servicing platforms, spreadsheets, email-driven workflows, and disconnected internal tools, leaving firms without a single real-time view of portfolio data.

Most loan servicing operates on cycles such as monthly reconciliations, quarterly reporting, and batch-based payment processing. This model reflects the constraints of legacy systems and manual workflows. Data must be collected, validated, and processed in stages. Consequently, funds often view their portfolios through periodic snapshots rather than in real-time.

Many funds also maintain parallel spreadsheets to verify their servicer's calculations. Known as shadow booking, this redundancy has no other purpose than to increase control. Ultimately though, it’s a sign of mistrust in the data provided, and the underlying calculations are often difficult to inspect. When discrepancies arise, they are discovered after the fact and require manual investigation, often across multiple systems.

These realities of the private credit industry are now colliding with a more competitive fundraising environment. Even if their underlying deals aren't catastrophic, private credit funds begin to look fragile if they cannot perform operationally well under increasing pressure.

Not surprisingly, many private credit firms are looking to AI to address these issues. But automation software alone cannot repair broken operational foundations. The critical question becomes whether their infrastructure is actually prepared to support the AI model they choose to use.

AI Alone Is Not the Answer

AI agents can execute operational work reliably while platforms can provide real-time visibility and full auditability. The pieces are in place. But there’s a pattern in how AI projects fail in the finance industry that's worth naming and it's almost never the model that's the problem.

What’s often missing is the infrastructure surrounding the model - the systems, workflows, data access, permissions, and controls that allow AI to operate reliably inside real financial processes. Otherwise known as the harness. Generic AI tools don’t know what a rate notice is.

They don't know that a prepayment request triggers a multi-step workflow across every syndicated entity on a facility. They don't know the difference between a funded tranche and a committed-but-undisbursed revolver, or why that distinction matters for how a payoff figure should be calculated.

This lack of operational context is also one of the biggest reasons AI hallucinations occur in finance. The majority of hallucinations aren't random malfunctions, they're a context problem. The AI model wants to give an appropriate answer. When it doesn't have access to the specific data it needs, it reasons from what it does know and produces something plausible.

Private credit portfolio data isn't embedded in any public language model. If the harness doesn't provide it, through tools, memory or real-time data access, the model will fill the gap with something that sounds right. Which, in a financial operations context, is a real problem.

The fix isn’t a better model. It’s a harness that gives the agent access to the right data, at the right moment, with the right tools and controls to retrieve it.

The firms that focus on building operational systems that provide context, transparency, audibility and human oversight will receive the greatest value from its AI investments. In private credit, the long-term advantage may not come from adopting AI faster than competitors, but from building the infrastructure, or the harness, capable of supporting it responsibly and at scale.

Establishing New Competitive Differentiators

As these operational systems mature and advance, they will also reshape what excellence actually looks like inside private credit firms. Responsiveness won't be a differentiator. It will be assumed. Real-time and instant delivery will be the new baseline.

This is because most routine interactions will no longer require human involvement. With real-time systems, shared data layers, and automated workflows, information will be directly accessible and continuously updated. What previously required a request and response cycle will be resolved at the source.

As a result, the role of the servicer shifts. They are no longer measured by how quickly they process or reply, but by how well they handle what cannot be automated - exceptions, edge cases, and judgment calls.

This is why the next generation of private credit leaders may look fundamentally different from the firms that defined the industry’s earlier growth period. Capital access and underwriting expertise will remain essential, but operational execution is becoming increasingly strategic.

Most funds are using general-purpose AI for ad-hoc analysis or are in a holding pattern. A small number are starting to build their own and discovering how much harder it is than first expected. The funds that move first on specialized operational infrastructure will have an advantage that compounds. Not because they picked the right model (the model will keep getting better and cheaper regardless), but because they built or adopted the right harness, trained it on the right context, and gave it the controls that make it trustworthy at scale.

In many ways, private credit firms are evolving into operational organizations as much as financial organizations. The ability to manage workflows, data, oversight, and execution will become a defining part of a firm’s competitive performance.

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This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.

The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit

At least 32 killed and 700 injured after two earthquakes hit Venezuela, Trump and Senate GOP face off in tense meeting, a top general is expected to retire, joining a number of Pentagon shakeups.

Launched in 2013, Agile CRM is a comprehensive platform built for small and medium-sized businesses. By combining sales, marketing, and customer service into one integrated system, it aims to simplify operations and boost efficiency across various business processes.

When I first looked at Agile CRM, I was struck by its affordability and the range of features it offers. The CRM platform provides a free plan that supports up to 10 users, which is more generous than many of its competitors in the small business space.

However, as I dug deeper into Agile CRM's capabilities, I found that its user interface and overall user experience could be seriously improved. While the platform offers a lot of features, it's not always easy to find what you need, and the experience can feel a bit clunky compared to established CRMs.

Agile CRM core capabilities

(Image credit: Agile CRM )

Agile CRM offers a complete set of core capabilities that cover the essential functions of customer relationship management. I found the contact profiles to be quite detailed, allowing me to store and organize a wealth of information about customers and prospects. 360-degree contact views provide a holistic picture of each relationship, including communication history, deals, tasks, and more.

When you're managing leads, Agile CRM includes a lead scoring feature that automatically rates contacts based on their interactions and attributes, helping prioritize follow-ups. I appreciate the ability to create custom deal milestones and stages to match my specific sales process. The visual pipeline view makes it easy to drag and drop deals between stages and get a quick overview of the sales funnel.

I can easily see the value and probability of deals in each stage, which aids in forecasting. The system also allows for multiple pipelines to be created, which is useful for managing different products or sales processes.

Sales forecasting is adequate but not exceptional. Agile CRM's system provides basic revenue projections based on deal values and probabilities. However, I found the forecasting tools to be somewhat limited in the way they handle recurring revenue and deal probability. For small businesses with straightforward forecasting needs, it should suffice, but larger organizations may find it lacking.

Reporting in Agile CRM shows both strengths and weaknesses. The platform offers a good selection of pre-built reports covering sales, marketing, and service metrics. I also appreciate the ability to create custom reports and dashboards to track specific KPIs. However, the depth of data analysis and visualization options falls short of what some competitors offer.

Agile CRM's mobile app, available for both iOS and Android, provides a seamless experience for managing contacts, deals, and tasks on the go. I found the app to be responsive and well-designed, offering most of the core functionality of the desktop version. The ability to access and update CRM data from anywhere is very useful for field sales and remote work.

Unlike some CRM systems that treat marketing as an afterthought, Agile CRM offers robust tools for email marketing, landing page creation, and campaign management. I was impressed by the drag-and-drop campaign builder, which allows for the creation of multi-step marketing workflows. The system includes ticketing, knowledge base, and customer feedback tools, allowing businesses to manage customer support directly within the CRM.

But perhaps most interestingly, Agile CRM offers gamification features to motivate sales teams. While not a core CRM function, I found this to be an interesting addition that can help drive engagement and performance among sales reps. The system allows for the creation of contests and leaderboards based on various sales metrics.

How easy is Agile CRM to use?

(Image credit: Agile CRM)

Agile CRM balances functionality and simplicity, mainly targeting small businesses. I found the dashboard clean, intuitive, and minimalistic — which avoids overwhelming new users. There's a prominent left-side menu for quick access to contacts, deals, and marketing, pretty standard for a CRM.

A drag-and-drop interface makes navigation even easier. It's particularly impactful when using the marketing automation module, where creating multi-step workflows is made significantly easier through visual campaign builders.

But the learning curve for Agile CRM can vary depending on your familiarity with CRMs. There are lots of customization options, so you can tailor the interface to your specific needs. This includes the ability to create custom fields, modify layouts, and set up personalized dashboards with custom KPIs. But while these options enhance flexibility, they can also add complexity for users who are less technically inclined.

For accessibility, Agile CRM supports keyboard navigation and has readable font sizes. But, I didn't find any mentions of screen reader compatibility or advanced accessibility options in the documentation.

Onboarding and training resources are available, though they may not be as comprehensive as those offered by some larger providers. Agile CRM provides a knowledge base, video tutorials, and webinars to help users get started. However, I also found that the depth of these learning resources varies from one topic to another.

I like how Agile CRM aids in the learning process with context-sensitive help. As users navigate through different sections of the software, relevant help articles and tips are often displayed, providing guidance at the point of need. This can reduce the time spent searching for information, accelerating adoption.

Despite the positives, however, many users have reported that certain aspects of the software feel clunky or dated compared to more modern CRMs. Agile's attempt to pack a wide range of features into a single platform sometimes results in a less polished user experience.

Agile CRM integrations

Agile CRM offers solid integration capabilities, allowing users to connect the platform with a wide array of third-party applications and services. There are three ways you can do this: using pre-built connectors for various applications, through an iPaaS vendor like Zapier or Make, or by building custom integrations using the API.

Agile offers direct connections to popular business tools across various categories, including email services like Gmail and Microsoft 365, social media platforms such as Twitter and LinkedIn, and ecommerce solutions like Shopify and WooCommerce. These are quick to set up and easy to modify.

Agile CRM integrates with web tracking and form integration tools, which is great for improving customer engagement. You can also plug into various telephony services, including Twilio and RingCentral.

For users requiring connections beyond the native integrations, Agile CRM provides support for multiple iPaaS vendors. Through Zapier, users can connect Agile CRM to over 1,000 more SaaS applications, enabling complex automation workflows across multiple platforms. Support is also available for Make (Integromat) and Webhooks.

Agile CRM also offers an open API, which provides developers the ability to create custom integrations to extend the platform's functionality. API documentation appears comprehensive, allowing for deep integration with external systems and powerful custom widgets within the interface.

During my testing, I found that data syncing with third-party platforms was mostly reliable. Agile CRM supports real-time and scheduled syncing options for most integrations, allowing users to choose the most appropriate method for their needs.

But while Agile CRM's integration features are generally strong, I did notice some limitations. The depth of integration can vary significantly between different connected apps. Some integrations offer solid two-way synchronization, while others may be more limited in scope.

How good is Agile CRM support?

Agile CRM provides a varied approach to customer support, combining live assistance with self-service options. Email support is clearly the main live support channel. Plus, there's a strong self-service resource ecosystem to help new users get acclimated to the CRM.

Email support system is fairly responsive, although response times can differ. In my research, I found that most users claim to receive initial replies within 24 hours, which is acceptable but not outstanding in the industry. More complex issues often take longer to resolve, sometimes requiring several days of communication.

Phone support is also available, even if not easily accessible. Usual support hours are 09:00 am to 05:00 pm EST, with additional scheduling options also available. But the real problem is the availability of agents, which can make it difficult to get urgent assistance.

Agile CRM makes up for limited live support options with a strong self-service ecosystem. The knowledge base is comprehensive and well-organized, covering topics from basic setup to advanced features. Articles are generally clear, often enhanced with screenshots or step-by-step guides.

In addition to the knowledge base, Agile CRM provides video tutorials and webinars. These resources are especially helpful for users who prefer interactive learning. The tutorials cover various platform aspects, from initial setup to advanced features, offering a solid foundation for new users and a reference for experienced ones.

A community forum enables users to engage with each other, share experiences, and offer solutions to common problems. While evaluating Agile CRM, I observed active participation from both users and staff on the forum, which seems to serve as a feedback channel and a support resource.

User testimonials about support quality are mixed. Some users commend the helpfulness and patience of support staff, especially for complex issues. However, other testimonials indicate inconsistencies in support quality, with some users frustrated by response times or the depth of assistance.

Agile CRM pricing and plans

Plan

Free

Starter

Regular

Enterprise

Price

$0/user/month

$8.99/user/month

$39.99/user/month

$64.99/user/month

Best For

Individuals or very small teams just getting started with a CRM.

Small businesses looking for an affordable all-in-one CRM solution.

Growing businesses that need advanced marketing automation and customer support features.

Large enterprises requiring unlimited contacts, custom reporting, and dedicated support.

Features

Basic contact management

Deal tracking

Email campaigns

2-way email integration

Marketing automation

Helpdesk

Custom deal tracks

Advanced automation workflows

Social media monitoring

Unlimited contacts

Custom reporting

Dedicated account rep

Limitations

Limited to 1,000 contacts and 1 campaign workflow.

Caps at 10,000 contacts and 5 campaign workflows.

Supports up to 50,000 contacts and 10 campaign workflows.

Higher price point may not be suitable for smaller businesses.

Agile CRM employs a tiered subscription-based pricing model, offering four distinct plans to cater to businesses of varying sizes and needs. The pricing structure is designed to scale with the growth of a company, starting with a free plan and progressing through increasingly feature-rich paid tiers. Even so, navigating their pricing sheet requires drawing a sharp line between long-term annual contracts and standard month-to-month agreements, as skipping the annual commitment forces a steep price hike of up to 40% across all paid tiers.

At the base level, Agile CRM provides a remarkably robust Free tier that accommodates up to 10 users and 1,000 contacts. While it provides core utilities like contact databases, deal pipelines, lead scoring, and appointment scheduling link structures, it is heavily restricted behind the scenes. Free users are locked down to exactly one plugin integration and are barred from building automated, multi-step marketing campaign workflows.

The Starter plan, priced at $8.99 a user per month, marks the beginning of the paid offerings. It increases the contact limit to 10,000 and introduces additional features like two-way email integration, custom deal milestones, and social monitoring. This plan provides good value for small businesses looking to expand their CRM capabilities beyond basic contact management.

Moving up the ladder, the Regular plan is priced at $39.99 per user per month with annual billing. This tier supports up to 50,000 contacts and includes more advanced features such as marketing automation, custom deal tracks, and mobile marketing. The plan seems to strike a balance between functionality and cost, making it suitable for growing small to medium-sized businesses.

At the top end, the Enterprise plan is offered at $64.99 per user per month with annual billing. This plan provides unlimited contacts and access to the full suite of Agile CRM features, including call recording, custom reporting, and role-based access control. While the Enterprise plan is the most expensive, it offers the most comprehensive set of tools for businesses with complex CRM needs.

There’s a significant discount offered for annual billing across all paid plans. The savings range from 33% to 40% compared to monthly billing, which could be a substantial incentive for businesses to commit to longer-term subscriptions. Agile CRM also offers volume discounts for businesses requiring a large number of user licenses, though the exact terms of these discounts are not publicly disclosed.

As for trials, Agile CRM provides a 14-day free trial of their paid plans, allowing users to test the full feature set before making a purchase decision. This trial period, combined with the free plan, gives potential customers ample opportunity to evaluate the system's fit for their business needs.

How we tested Agile CRM

At TechRadar Pro, our business software evaluations are built on extensive, hands-on stress testing rather than just vendor feature lists. To truly understand Agile CRM’s balance of advanced automation and legacy interface design, our analysts subjected the platform to rigorous testing criteria that mirrored a real-world multi-channel marketing and sales drive.

Our CRM testing methodology is built on evaluating Agile’s advanced automation engine, auditing the platform’s connectivity options and integration functionality. We assessed the platform's UI layout across daily workflows and looked at Agile's support channels. And for every factor, we looked at how they performed across different pricing tiers - and whether we think users get value for money.

Agile CRM review: Final verdict

Agile CRM remains a highly compelling option for budget-conscious small to medium-sized businesses looking for heavy-duty functionality without a premium price tag. Its primary strengths lie in its exceptional affordability and strong scalability, offering a highly capable free tier for up to 10 users alongside intensely competitive paid plans. For a lower-tier CRM, it packs a surprisingly robust punch, featuring advanced tools like multi-step marketing automation and sales gamification that you normally have to pay a premium for elsewhere.

However, the platform's biggest bottleneck is its user experience. The interface is undeniably dated, sluggish, and clunky, which robs those powerful automation features of some of their appeal. Additionally, live support is notoriously limited, leaving you heavily reliant on their self-service knowledge base to navigate the UX hurdles.

Data governance is unglamorous work. It is also the reason most AI strategies stall before they scale.

Spending on models, platforms and use cases keeps growing. But the disciplines that make those investments effective – data quality, ownership and governance – often receive far less attention.

Part of the challenge is that data governance is neither “fun” nor “sexy.” It lacks the excitement of new technologies and the appeal of quick wins, so it is consistently deprioritized.

Yet as organizations scale their AI ambitions, governance is increasingly the factor that determines whether those efforts succeed or stall.

The imbalance in attention is now starting to show. While AI adoption continues to grow, many organizations still struggle to move beyond pilot stages into enterprise-scale deployment. The gap between ambition and execution is widening, and weak data governance is often at the center of it.

The issue is not awareness. Most business leaders recognize that governance matters. The challenge is that governance demands structural decisions, cultural alignment and sustained discipline – the hard parts of the job. And, unlike a new platform or tool, its value often only becomes fully apparent when it is missing.

When governance is absent, problems don’t stay small

Weak governance rarely fails loudly at first. The problems accumulate.

Early AI initiatives often prioritize delivery, with dashboards, models and applications taking precedence over governance. Silos form, data definitions diverge and access controls become inconsistent. A common pattern: two teams – one in marketing, one in data science – train separate models against different definitions of the same metric.

Both definitions look correct in isolation. In production, the predictions conflict, neither team can explain why, and the investigation takes weeks longer than building either model did. Quality issues are patched rather than fixed, and new projects begin to rely on shaky assumptions.

As complexity grows over time, confidence in the data declines.

Data dictionaries and permission frameworks are not administrative overhead – they are what makes scalable AI possible. Building them early demands investment before visible returns but postponing that effort is far costlier.

Left unchecked, governance gaps eventually land hard, resulting in delayed projects, compliance failures and decisions made on unreliable data. At that point, organizations are forced into reactive fixes – or even total rebuilds – that are far more expensive and disruptive than addressing governance from the start.

Governance is not just compliance – it enables innovation

Regulators are placing increasing importance on accountability in how data is used. The UK’s Information Commissioner’s Office (ICO) has made it clear that organizations must be able to demonstrate control over data use, particularly as AI systems become more prevalent. Scotland’s new National AI Strategy also highlights that organizations must follow best practice in responsible AI governance aligned with OECD principles.

This has reinforced the perception that governance is primarily a compliance exercise – something important but not necessarily prioritized at the prototype stage. Effective governance is far more than that: it shapes how data flows through an organization, how decisions are made and how confidently teams can act. It defines accountability and sets the standards needed to maintain consistency at scale.

In that sense, governance is a design choice, and businesses need to make the right one to effectively scale their innovation ambitions.

Define ownership before you decide the model

Governance is not one-size-fits-all - nor it is purely a technical problem to be addressed through tools or platforms alone. In fact, the harder initial challenge is often a people and accountability one. Before designing a governance model, organizations need to define the who as much as the how. Who owns the data? Who is responsible for its quality and who decides how it should be used?

In many organizations, these responsibilities are unclear. Management is shared, and ownership is (often wrongly) assumed rather than defined. But it is only once those questions have been answered – in practice as well as on paper – that businesses can turn their attention to developing a governance model that fits their structure.

Some take a centralized approach to this, with control sitting in a single function. This can provide consistency and clarity, but the model may struggle to scale across complex organizations with diverse needs.

Others adopt a federated model, combining central standards with local ownership. This can be more flexible and scalable, but only if the business is committed to those shared standards and has defined clear roles and accountability. Without them, federated models risk furthering data fragmentation.

The key is alignment. Governance models should match how teams actually use data and AI, not how they’re assumed to operate.

A practical test: ask three different teams how they define a key business metric – revenue, active users, or customer churn. If the answers differ, the governance problem already exists. The operating model question is not how to prevent that divergence in future; it is who has the authority to resolve it now.

Governance doesn’t show up in a demo

Governance is rarely the most visible part of an AI strategy. It’s detailed, structural work that often goes overlooked, but that is precisely why it matters.

For business leaders, the challenge is to move beyond acknowledging its importance and begin making early, deliberate decisions about how it is implemented. That means defining data ownership, aligning operating models and investing in the capabilities that support long-term success.

Technology choices are reversible. Data ownership decisions compound. The governance model you design – or neglect – in the next twelve months will shape what your AI strategy can actually deliver in three years.

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• The second season of Netflix crime drama Dept Q begins production in Edinburgh, Scotland
• Core cast set to return alongside nine new faces
• No word yet on release date or the number of episodes

Netflix has confirmed that the second season of the hit crime drama Dept Q. is now in production, filming in Edinburgh, Scotland.

Our core cast is set to return, including:

• Matthew Goode as DCI Carl Morck
• Alexej Manvelov as Akram Salim
• Jamie Sives as DS James Hardy
• Leah Byrne as DC Rose Dickson
• Mark Bonnar as Stephen Burns,
• Kate Dickie as Moira Jacobson
• Aaron McVeigh as Jasper
• Sanjeev Kohli as Martin Flemming

Nine new cast members will also be seen in new episodes. While we don't know exactly what their roles will be, we do have names:

• Aisling Franciosi as Kimmie
• Greg Wise as Derek Powell
• Nicholas Rowe as Thomas Fulton
• Tony Curran as Winnie Calderwood
• Hamish Clark as Christopher Herron
• Alex Ferns as Phil Allenbeck
• Ross Anderson as Ricky Daddario
• Rebecca Root as June Lovesay
• Isla Johnston as Agnes

Currently, there's no word on exactly when Dept Q. season 2 will be released, nor how many episodes will make up the series.

However, we do have a brief idea of what the plot will involve thanks to the synopsis below.

Dept Q. season 2 set to explore a brand-new case

As per Netflix, Dept Q. season 2 follows "DCI Carl Morck heading up the maverick Dept. Q from the basement of an Edinburgh police station, charged with cases previously deemed unsolvable.

"This darkly humorous, propulsive show delivers all the pleasures of a procedural but takes us into the complex mysteries not just of the cases but of the detectives themselves."

Unsurprisingly, this is all very vague at this point in development. However, Rob Bullock, Executive Producer, Left Bank Pictures, added in a statement, “This season, Carl and his band of misfits tackle a terrible crime hidden in the highest echelons of Scottish society. It is a story for our times: rich and powerful people who believe they are above the law."

Executive Manda Levin agreed, "The story of season 2 is as darkly delicious as you’d expect, and Carl and his glorious gang will have their work cut out pinning down the perpetrators as we launch back in for more!”

What we know for sure is that we will continue to see an adaptation of Jussi Adler-Olsen’s original novels — but how faithful the show will be remains to be seen.

Two years ago, Netflix dramatically let me down. As a massive anime fan, I tuned into the first season of their live-action Avatar: The Last Airbender remake and was horrifically disappointed within minutes. In fact, the most positive critique you could give it is that it was better than the live-action movies, which are widely considered to be garbage.

Why? The action was all there, but the heart of Aang's story wasn't. Spectacular VFX tried to cover up the hollow, mundane narrative underneath. In fact, to quote a fantastic jaw-dropping writer called Jasmine Valentine: "There’s little room to learn, with life-changing realizations made in a ridiculously short amount of time. If a tale can’t be paid its due diligence in a certain remit, should we even bother at all?"

In 2026, my excitement for Avatar: The Last Airbender season 2 is non-existent. I've approached its seven-episode run with complete trepidation, honestly wondering if there is anything better that I could be covering this week. However — while a long way from being a masterpiece — the hit Netflix show has clearly been listening.

Now that all of the exhausting worldbuilding is out of the way (for the most part), fans can finally focus on the character relationships that they want to invest in. There's a lot of tenderness and vulnerability on display, which is the most fulfilling part of our cast having grown up so much between seasons.

But there's still something obvious that's really bothering me... and it comes back to Netflix's "cookie-cutter" mold that none of its programs can escape.

Avatar: The Last Airbender season 2 has finally learned its lesson about the importance of heart

Read it and weep (for joy), kids — Avatar: The Last Airbender season 2 actually has heart. If we're being honest, nobody had to put any effort into achieving this, with the mere fact that the lore of the Four Nations is fully established meaning there's now room for bigger, better things.

A mature Aang (Gordon Cormier) now straddles his inner struggles of legacy and constant imposter syndrome even more effectively, with the likes of Katara (Kiawentiio), Sokka (Ian Ousley), and Suki (Maria Zhang) now all settled into their selves, wants and needs.

If anything, Zuko (Dallas Liu) is going through it the most. After deserting his family and retreating into hiding at the end of season 1, we've got a lot more sympathy with him this time around as he grapples with his supposed destiny of capturing Aang for the Fire Nation's glory. Unlike Lord Ozai (Daniel Dae Kim), he's no longer a villain, but a victim.

The standout character of season 2 is easily Toph (Miya Cech), who has finally been introduced after not appearing in season 2. Coming from a complicated family background that routinely dismisses her Earthbending, she comes into her own sassy self after teaming up with Aang to teach him the next element.

Collectively, the team is now firing on all cylinders, and it's nothing short of a joy to watch. Now we understand who they are and what the bigger picture looks like; intimacy, fun, and genuinely satisfying friendships are now flourishing. The jokes land, the serious moments stab you in the heart, and whimsy is flying around like Appa the sky bison.

Netflix makes season 2 look exactly like The Witcher — just with different lore

(Image credit: Netflix)

Everything else in Avatar: The Last Airbender season 2 feels like more of the same — and that's a huge problem when it comes to the visuals. Broadly speaking, the Four Nations are jaw-droppingly gorgeous, and the detail that the creative team has packed into the landscapes is nothing short of impressive.

The immediate VFX, such as the bending that our characters use, leave a lot to be desired. It's obviously not a usual thing for people to have fire and water shooting out of their hands, so we're suspending a great deal of belief anyway... but being in the moment doesn't help when seeing it happen looks so fake.

This lumps season 2 into the same visually poor category as The Witcher, which is another comparison I made during season 1's debut. Cover the faces of the actors, stick them in the woods for a combat scene, and you'd be hard-pressed to tell the shows apart. Netflix is determined to make all of its genre programs look exactly like one another, and I'm baffled as to why.

Then there's the ultimate ending, which we already know without including spoilers. Much like other long-running anime series like One Piece (with its Netflix adaptation also guilty of this), we've known about the final endgame from its first five minutes. Here, it's for Aang to learn his bending skills, become all-powerful, and defeat Lord Ozai and the Fire Nation.

With a third series already confirmed, this is being drawn out for as long as humanly possible. It was obvious that none of the above was going to be achieved by the time season 2 wrapped up, so we've made little substantial progress from when Aang's goal was first introduced.

For me, the constant theme of "Oh no! Danger is on the horizon, and the Fire Nation must be stopped" is going to wear thin quickly. I'd really like to see season 3 mix things up, but I'm guessing that it won't.

Did I enjoy seeing Aang and the gang in 2026 more than in 2024? Absolutely. Has it renewed my interest in seeing them again at the end of 2027 (season 3's assumed release window)? Far from it.

Spoilers for Avatar: The Last Airbender season 2 ahead.

Even before Avatar: The Last Airbender season 2 dropped on Netflix, we knew exactly where it was heading: the Fire Nation taking over all of the Four Nations.

In the latest batch of seven episodes, the target is the hidden city of Ba Sing Se — and as of season 2 episode 6, it's been captured.

With Avatar Aang (Gordon Cormier) the only person who can save the day, the pressure is on to stop Fire Lord Ozai (Daniel Dae Kim) from doing any more damage.

Unluckily, Princess Azula (Elizabeth Yu) is taking her dad's wishes into her own hands. But can our favorite gang cope with her fiendish plans?

Here's everything you need to know about the Avatar: The Last Airbender season 2 ending... and what it might mean for the already confirmed season 3.

Appa, Sokka, Zuko and Katara are all captured by the Dai Li — which is now controlled by Azula

(Image credit: Netflix)

We kick off Avatar: The Last Airbender season 2 episode 8 with a flashback of baby Aang meeting Appa the sky bison for the first time. Aang feeds Appa an apple (trying to say that three times fast), and they embrace.

Cut to the present day, where Appa has been kidnapped by the Dai Li — Ba Sing Se's secret police force — which is now being controlled by Princess Azula. Trust me, you will cry seeing him in chains.

In a meeting with the city's Grand Secretariat, Long Feng (Chin Han), Azula kills all of Ba Sing Se's highest-ranking men in the force when they question why the Fire Nation wants to control the city. Long Feng, however, begrudgingly but fearfully complies with Azula's plan: to raise Ba Sing Se's drawbridge and let the Fire Nation troops roll in, taking out anything they want in the process.

Remember, this is all coming from Lord Ozai's orders, despite Azula being a more than willing vehicle for them. But Appa isn't the only Aang ally the Dai Li has captured on her orders, with Sokka (Ian Ousley) and Katara (Kiawentiio) also in separate cells.

Sokka reunites with inventor Sai (Danny Pudi) in his cell, with the inventor already being captured before his arrival. Together, they try to figure out how to use the prison's underground structure to break free.

Katara has been put in a cell with Zuko (Dallas Liu), who was caught by the Dai Li after "doing a good act." This marks the biggest pinnacle in Zuko's personal struggle between good and evil so far, and Azula has no idea that he's jailed.

Meanwhile, Toph (Miya Cech) returns home to her mother, complaining that Aang and co. "don't understand her" after their huge falling out in episode 6. While initially seeming on board with how great Toph's earthbending powers are, her mother poisons Toph's tea in order to try and control her urge to leave home forever.

Aang and Iroh plan an escape mission

(Image credit: Netflix )

So where is Aang in this? Right behind his pals, having already figured out where Appa is underground just by sensing him. When the Azula-controlled Dai Li parade through the center of Ba Sing Se, he's hidden by allies made in season 2, episode 1.

When he attempts to approach the Dai Li's underground jail, he's spotted by Iroh (Paul Sun-Hyung Lee) and is immediately suspicious. Iroh reveals that he's also on a mission to break Zuko out of jail, thinking that the pair should team up for maximum effect.

Iroh tells Aang about a secret door that Avatar Kyoshi once installed to lead into the underground caves, but it needs all four elements bent at once to be able to open it. Aang is missing his firebending powers at this stage, so he needs Iroh just as much as Iroh needs Aang.

Together, the pair locate and open the door, and set off on their rescue mission.

Zuko tries to bond with Katara

(Image credit: Netflix)

While Sokka and Sai try to be proactive, Katara learns who Zuko really is. Immediately, she goes on the defensive, telling him how all of her family — and the entire Waterbending tribe — were wiped out thanks to the hostile Fire Nation invasion.

Zuko definitely feels empathy for Katara, but still has a chip on his shoulder. He tells her that the Fire Nation also stripped him of his family, with his mother dying at the hands of Lord Ozai.

The more the two talk, the more they realize that they have a lot in common. It's the closest we've even seen Zuko come to his "good" side, and it seems as though he's finally going to stay that way for good.

Looking at the burn mark around his left eye, Katara offers to try and heal Zuko using the waterbending potion in the locket around her neck. Just as she's about to apply it, Aang and Iroh storm in, having found and released Sokka and Sai first.

Aang goes to fight Zuko, but Iroh stops him, claiming that he's seen huge changes for the better in his nephew. Not quite believing that Zuko has defected from the Fire Nation, the gang sets off in search of the exit.

Aang's escape plan is thwarted

(Image credit: Netflix)

With the Dai Li everywhere, the gang splits up. Aang goes to find Appa after Long Feng brings him up to speed with Azula's plans, earthbending a hole through the ceiling so that Appa can fly to safety.

But as he tries to rejoin the others, he passes another prisoner who was originally being psychologically tortured by a Dai Li officer earlier on. Aang offers to bring her with them, but instead of accepting his offer, she shouts that "the Avatar is here," alerting the guards.

From there, it's fighting on all fronts. In pairs, the group makes light work of the Dai Li roaming the hallways, especially when Toph joins suits, revealing that she has invented "metalbending."

In fact, metalbending is how she ended up there in the first place. When she wakes up after her poisoning, Toph awakes in a metal box riding inside her mother's horse and carriage. Coming to the conclusion that Aang really does understand her, where her family doesn't, she bends the box and flies out of the carriage, making her way to safety.

An all-out battle with Azula changes Zuko's allegiance

(Image credit: Netflix)

With the fight raging on, Azula soon joins the mix, learning that her brother is among the escapees. Honing her focus on him, she tries to convince him, once again, to rejoin her side.

At first, Zuko remains hesitant, more confident in his newfound ability to do good things. But when Azula brings up the death of their mother, he changes his mind.

Where Zuko has always held a grudge against Azula for how she acted when their mother died, Azula reveals that she was only acting on her mother's orders. Their mom wanted the siblings to stay together through the trauma, breaking an emotional trigger point inside Zuko when he hears this.

By the time the rest of the gang reach a large clearing in the underground caves, Azula and Zuko emerge to fight them all as a team. This shocks Katara, who had genuinely believed that Zuko was coming around to being on their side.

After a lot of intense bending and fighting, it looks as though Azula has Aang right where she wants him — after all, the entire point of kidnapping his friends was to lure Aang to Ba Sing Se.

But in his hour of need, Aang taps into what can best be described as an "Avatar portal," seeing physical forms of all the Avatars that came before him in his mind's eye. More clearly, it's what causes Aang's eyes and head arrow to turn a shining blue, as he's essentially channelling their collective power through his body.

Aang is left unconscious

(Image credit: Netflix)

At this point, we see Aang's best bending to date, turning the tables on Azula and leaving her (and the Dai Li guards who join her) powerless.

But just as he's about to deliver the final blow, Aang loses his inner vision, effectively shutting his power off. He collapses to the floor, but Katara, Sokka and Toph are able to get him to safety thanks to Appa having waited outside.

With Ba Sing Se still under Azula's control, our final scene shows the gang flying away on Appa's back. Kata uses the potion she initially offered to Zuko on Aang, aiming to heal him and bring him back to full health.

However, nothing happens after she gives it to him, with the final shot showing Aang completely unconscious and unresponsive.

Season 3 predictions

(Image credit: Netflix)

Obviously, finding out if Aang has actually survived the battle is a top priority for season 3. But the mere fact that season 3 has already been greenlit basically confirms that we'll be seeing Aang again anyway.

In a nutshell, we can expect to see Aang learning to firebend, infiltrating the Fire Nation, and preparing for his climactic showdown with Fire Lord Ozai before Sozin's Comet arrives. Not too much, then.

We also know that Zuko will eventually team up with Aang and the gang to make this happen, so we can expect to see some more emotional upheaval from him.

We're hoping to see season 3 episodes next summer.

Two years ago, Netflix dramatically let me down. As a massive anime fan, I tuned into the first season of their live-action Avatar: The Last Airbender remake and was horrifically disappointed within minutes. In fact, the most positive critique you could give it is that it was better than the live-action movies, which are widely considered to be garbage.

Why? The action was all there, but the heart of Aang's story wasn't. Spectacular VFX tried to cover up the hollow, mundane narrative underneath. In fact, to quote a fantastic jaw-dropping writer called Jasmine Valentine: "There’s little room to learn, with life-changing realizations made in a ridiculously short amount of time. If a tale can’t be paid its due diligence in a certain remit, should we even bother at all?"

In 2026, my excitement for Avatar: The Last Airbender season 2 is non-existent. I've approached its seven-episode run with complete trepidation, honestly wondering if there is anything better that I could be covering this week. However — while a long way from being a masterpiece — the hit Netflix show has clearly been listening.

Now that all of the exhausting worldbuilding is out of the way (for the most part), fans can finally focus on the character relationships that they want to invest in. There's a lot of tenderness and vulnerability on display, which is the most fulfilling part of our cast having grown up so much between seasons.

But there's still something obvious that's really bothering me... and it comes back to Netflix's "cookie-cutter" mold that none of its programs can escape.

Avatar: The Last Airbender season 2 has finally learned its lesson about the importance of heart

Read it and weep (for joy), kids — Avatar: The Last Airbender season 2 actually has heart. If we're being honest, nobody had to put any effort into achieving this, with the mere fact that the lore of the Four Nations is fully established meaning there's now room for bigger, better things.

A mature Aang (Gordon Cormier) now straddles his inner struggles of legacy and constant imposter syndrome even more effectively, with the likes of Katara (Kiawentiio), Sokka (Ian Ousley), and Suki (Maria Zhang) now all settled into their selves, wants and needs.

If anything, Zuko (Dallas Liu) is going through it the most. After deserting his family and retreating into hiding at the end of season 1, we've got a lot more sympathy with him this time around as he grapples with his supposed destiny of capturing Aang for the Fire Nation's glory. Unlike Lord Ozai (Daniel Dae Kim), he's no longer a villain, but a victim.

The standout character of season 2 is easily Toph (Miya Cech), who has finally been introduced after not appearing in season 2. Coming from a complicated family background that routinely dismisses her Earthbending, she comes into her own sassy self after teaming up with Aang to teach him the next element.

Collectively, the team is now firing on all cylinders, and it's nothing short of a joy to watch. Now we understand who they are and what the bigger picture looks like; intimacy, fun, and genuinely satisfying friendships are now flourishing. The jokes land, the serious moments stab you in the heart, and whimsy is flying around like Appa the sky bison.

Netflix makes season 2 look exactly like The Witcher — just with different lore

(Image credit: Netflix)

Everything else in Avatar: The Last Airbender season 2 feels like more of the same — and that's a huge problem when it comes to the visuals. Broadly speaking, the Four Nations are jaw-droppingly gorgeous, and the detail that the creative team has packed into the landscapes is nothing short of impressive.

The immediate VFX, such as the bending that our characters use, leave a lot to be desired. It's obviously not a usual thing for people to have fire and water shooting out of their hands, so we're suspending a great deal of belief anyway... but being in the moment doesn't help when seeing it happen looks so fake.

This lumps season 2 into the same visually poor category as The Witcher, which is another comparison I made during season 1's debut. Cover the faces of the actors, stick them in the woods for a combat scene, and you'd be hard-pressed to tell the shows apart. Netflix is determined to make all of its genre programs look exactly like one another, and I'm baffled as to why.

Then there's the ultimate ending, which we already know without including spoilers. Much like other long-running anime series like One Piece (with its Netflix adaptation also guilty of this), we've known about the final endgame from its first five minutes. Here, it's for Aang to learn his bending skills, become all-powerful, and defeat Lord Ozai and the Fire Nation.

With a third series already confirmed, this is being drawn out for as long as humanly possible. It was obvious that none of the above was going to be achieved by the time season 2 wrapped up, so we've made little substantial progress from when Aang's goal was first introduced.

For me, the constant theme of "Oh no! Danger is on the horizon, and the Fire Nation must be stopped" is going to wear thin quickly. I'd really like to see season 3 mix things up, but I'm guessing that it won't.

Did I enjoy seeing Aang and the gang in 2026 more than in 2024? Absolutely. Has it renewed my interest in seeing them again at the end of 2027 (season 3's assumed release window)? Far from it.