The AI space is evolving rapidly, with new tools and frameworks launching seemingly every week. But most of them either feel like generic ChatGPT wrappers or demand enough technical know-how that most people never get past the setup.
Agent.ai is somewhere in the middle. It’s not revolutionary, but it is interesting - especially if you like to experiment with AI tools but don’t want to dive deep into custom code.
In this post, I’ll walk through how Agent.ai works, when it makes sense to use it over other AI tools, and some of the most valuable agents I’ve discovered so far. Anyone not interested in reading the full article can find a summary here.
What is Agent.ai?
Agent.ai brands itself as “The #1 Professional Network For AI Agents”. Founded by Hubspot’s co-founder and CEO Dharmesh Shah, it feels like a combination of a marketplace where you use credits to run various AI agents and a social network to follow and engage with other AI agent enthusiasts. The network is easy to join and contribute to. Because of the low barriers to entry, the number of available agents is over 1,000 and expanding fast.
Usually, there are significant hurdles to scaling two-sided marketplaces. But Agent.ai is set up in such a way as to enable hyper-growth on both the supply and demand sides. For supply, Agent.ai makes it exceptionally easy to build new AI agents. You can peek under the hood to see precisely how existing AI agents were built (example below) and then develop your own agent by modifying or adding features to existing agents. This can be done seamlessly with a sleek, intuitive, drag-and-drop interface and doesn’t require coding skills or deep AI agent expertise.
To stimulate demand, Agent.ai is free to use. As they say in their documentation:
“Credits are an agent.ai marketplace currency with no monetary value…you can earn more credits by performing actions like completing your profile or referring new users…If you ever do happen to hit your credit limit (most people won’t) and can’t run agents because you need more credits, let us know — we’re happy to top you back up.”
When to use Agent.ai vs. ChatGPT (or other chatbots)?
While AI agents are all the rage, ChatGPT and other chatbots, such as Claude, Llama, and Grok, are incredibly powerful and are rapidly expanding their capabilities. These chatbots have free tiers (or paid tiers with a flat monthly rate) and allow maximum customization with prompts. Because of the customization and they don’t charge per task, I will almost always use a chatbot (usually ChatGPT) first and only explore Agent.ai if I’m unsatisfied with the output. However, some Agent.ai agents outperform what I can easily do with ChatGPT because they are optimally designed for narrow use cases. I will talk more about these in the next section.
My favorite Agent.ai agents
If you are relatively new to AI agents or not an AI power user, Agent.ai is sure to blow your mind. There are agents that enable you to scrape data from Reddit, analyze the competition, generate a script for a YouTube video, and much more. However, for a good number of Agent.ai agents, I already have solutions using some combination of ChatGPT, Clay, Phantombuster, Apify, or BrowseAI. With that said, there are still several agents I found particularly useful:
#1 - Brand Guide Generator - Many clients I have worked with, especially if they are early-stage startups, will have websites but no brand guides. Brand guides are often considered nice to have and will be created once they hire a Head of Branding or Design Lead. However, without a brand guide, their color scheme or messaging across content often lacks consistency. With this agent, you can quickly develop a lightweight brand guide - just input your website and let the agent do the rest.
#2 - Ideal Customer Profile (ICP) Builder - Early on in your startup journey, one of the most important priorities (if not the most important) is figuring out your ideal client profile (ICP). Many people try to arrive at an answer for this through workshops or theoretical frameworks. But this agent provides a simpler alternative: input the names and companies of your leads or customers, and it will tell you the commonalities across all of them. I tested this myself and was pleasantly surprised by the level of analysis.
#3 - Meme Maker - It’s no secret that I love memes and usually include a few custom-made memes in each of my articles. But I often spend an inordinate amount of time trying to find the perfect meme. This meme maker does a pretty good job creating a relevant meme with just a single prompt.
#4 - PRD Maker - In product management, a product requirements doc (PRD) defines what a product should do. It aligns stakeholders around a shared understanding of what is being built and why. If you have previously worked as a product manager, creating a PRD is second nature to you. But, given that I’m relatively new to product development, getting a first draft of a PRD is undoubtedly helpful. This agent does a great job at that (example below):
#5 - Web Design Grader - When I discovered this agent, I thought it would be hit or miss depending on the quality of the output. Thankfully, the output was good and provided valuable insights into Conversion Potential, Content Relevance, and Visual Appeal.
#6 - SEO Content Optimizer - Given that I am pretty experienced in SEO, I have my own suite of tools to analyze a site’s SEO performance. But, for those newer to SEO, this agent does a decent job of identifying areas for improvement. The one downside is that it only does one page at a time. But, if your site is on the smaller side (e.g. 15 pages or less), I think this agent could be extremely useful and prevent you from spending $1,000+ to have an agency complete your SEO audit.
#7 - Backlink Opportunity Finder - Out of all areas of SEO, backlinks are the one where I find brands consistently mess up, and it ends up biting them in the ass. As I mentioned here, they either pay a fly-by-night backlink shop out of Mumbai to spam post their brand across the internet or pay a company like Nick Huber’s Bold SEO $1,150 / month for 1 backlink and 1 article. Both are insane.
If you want to take backlinking into your own hands, this agent does a solid job of uncovering opportunities.
#8 - Case Study Creator - This agent enables you to submit a transcript of a customer interview, and it will format it into a stylish and clean case study. The downside is that it does require a fair number of inputs in a specific format:
Upload a plain text (.txt) file containing the raw transcript of a customer success story interview. Ensure the interview covers Business Challenges & Objectives, Obstacles, Implementation Strategy, Results & Outcomes, and Key Learnings, with each topic clearly distinguished. This structure allows the program to map content to the correct output fields.
But, if you go into customer interviews with a clear set of questions, this agent can do the rest.
Why not just build my own AI agents?
While Agent.ai has agents with many practical use cases and applications, its agent capabilities are more similar to what you would get with manual prompting (e.g. asking ChatGPT) than a team of custom AI agents. Building custom AI agents can be tricky and unnecessary in most cases.
I suggest using manual prompting in most scenarios, Agent.ai agents for scenarios where manual prompting falls short, and building your own custom Agent.ai agents in cases where the existing agents are missing key features. If you have exhausted those options and at least meet the criteria laid out here for using Lightweight AI agents, I would roll up your sleeves, use a framework like CrewAI or Langchain, and start building.
Conclusion
Agent.ai offers a lightweight, low-friction environment to test, tweak, and deploy niche agents without spinning up infrastructure or writing a single line of code. It provides a faster path to utility for non-technical users or curious tinkerers than many more complex frameworks. As the space continues to evolve, platforms like Agent.ai may carve out a unique role: not as the final destination but as the proving ground where new ideas get tested, shared, and refined in public. For now, it’s a fun and helpful tool to keep in your AI toolbox.
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TLDR Summary
Agent.ai is a user-friendly platform that allows you to create and experiment with AI agents without needing coding skills. It offers over 1,000 agents for various tasks, such as brand guide creation, SEO optimization, and meme generation. This article explores how Agent.ai works, when it’s beneficial to use it over other AI tools like ChatGPT, and highlights some of the most useful agents available.
Key Points and Insights
What is Agent.ai?
A platform that blends a marketplace and social network for AI agents.
Easy to join and use with over 1,000 agents available.
Allows users to create new agents with a drag-and-drop interface.
When to Use Agent.ai vs. ChatGPT
ChatGPT is ideal for general-purpose tasks and maximum customization, while Agent.ai shines in specific, narrow-use cases.
Agent.ai is useful for well-defined tasks where pre-designed agents outperform general prompts.
My Favorite Agent.ai Agents
Brand Guide Generator: Quickly create a brand guide from your website.
ICP Builder: Simplifies creating an Ideal Customer Profile by analyzing leads or customers.
Meme Maker: Automatically generates relevant memes.
PRD Maker: Helps create product requirements documents.
Web Design Grader: Analyzes website design for conversion potential and visual appeal.
SEO Content Optimizer: Identifies SEO improvements for websites.
Backlink Opportunity Finder: Identifies potential backlink opportunities for SEO.
Case Study Creator: Converts customer interview transcripts into formatted case studies.
Should You Build Your Own Agents?
While Agent.ai is powerful, building custom AI agents can be necessary for specific use cases.
Start with manual prompting or existing agents, and build custom agents only when necessary.
Conclusion
Agent.ai is a valuable, low-barrier tool for non-technical users to explore and deploy AI agents quickly. It serves as a great proving ground for testing new ideas and solving specific tasks efficiently, making it a useful addition to your AI toolkit.
This is such a useful resource for testing brand building and really understanding audience needs. Having a space to experiment and refine messaging before fully launching is invaluable. Excited to see how AgentAI evolves—definitely a game-changer for creators!