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Build and Run AI Agents in your app

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Listed by ctl,

Cominty Managed Agent — Build, deploy, and run production-ready AI agents without managing the underlying infrastructure.

Powered by an enterprise-grade Harness + Runtime, with access to 200+ AI models, built-in tools, skills, memory, and execution capabilities. Model-agnostic, EU-based, and accessible through our Portal, SDK, or API.

Focus on what your agents do. We handle how they run.

What the builder wants tested

We’d love your feedback on Cominty Managed Agent!

Thanks for giving it a try! We’re building Cominty for people who want to build and run AI agents without the infrastructure complexity.

A few quick questions:

  1. What did you try to build or accomplish? Did you succeed?
  2. What impressed you most, if anything?
  3. What was frustrating, confusing, or didn’t work as expected?
  4. How does the experience compare to other AI agent platforms you’ve tried?
  5. What capabilities or features are missing for your use case?
  6. Would you consider using Cominty for a real project or in production? Why or why not?
  7. What’s the one thing we should improve first?

Feel free to be brutally honest. Your feedback will directly help us improve the platform.

Website

Free trial, then a paid plan. Testers never pay to test. If a trial asks for a card, cancel before it ends.

This app is made and run by its builder, not by TestMyBuild. We tried it once before listing it, which is not a check that it is safe, keeps working or handles your data well. Use your own judgement.

How to test this app

  1. Open the app and sign up with your real email. Start the free trial if there is one.
  2. Use it the way you would use it for real, for at least a day.
  3. Come back here. Post a screenshot of your signup and what you honestly think. One post per app, worth the listing's bounty when approved.

Feedback

1 post, newest first
janTested on Web

Note: you linked the sign-in page, not cominty.ai. Include it if you want landing page feedback.

1. What did you build? Did you succeed?
An Instagram agent (answer DMs/comments, DM people who comment on a post), then a HeyReach LinkedIn responder. Creating both worked, but I got stuck at deploy: I'd have to do the integration myself. I was just trying it out, and that's your challenge: people will try it because it looks great, then drop off once it gets complicated.

2. What impressed you?

  • Onboarding: really good, and starting people in "What do you want to build?" is smart.
  • Create Agent button: clear and simple. It picked Sonnet for my agent, exactly right, and model switching is a real value point.
  • "Copy prompt": paste into your coding agent and done. Love it.
  • Templates (support, lead researcher, document export): exactly what's needed.
  • Smooth OTP signup, auto favicon, solid docs.

3. What was frustrating?

  • Test output: I said "just send me the candidates" and it replied this seemed part of an earlier conversation, not like replying to a LinkedIn contact. Mostly not your fault, but my instructions were weak and nothing pushed me to improve them.
  • Clicking the sidebar kills a running chat.
  • No "Edit with AI" after creating. Add it next to the agent name and in the three-dot menu.
  • "Create with AI" chat box looks like a plain text box, so people won't invest in it, and pasting long text breaks it. Make Create Agent the main flow. That page is really amazing.
  • Skip in onboarding throws you out instantly (add a confirm). Get Started is hard to find after (move it to the top bar) and stays at 1 of 4 without an API key.
  • Small: input box should auto-grow, expired OTP still opens the OTP page, show local currency, very desktop-heavy.

4. How does it compare?
Haven't used Lindy, Relevance or n8n agents. Zapier: expensive and not great. Cominty is way simpler. But right now it feels like the OpenAI playground with a nicer UI, so why wouldn't a dev just use OpenAI? Pick an angle: "easy" (then integration must be easy too) or "advanced" (then show a clear different value).

5. What's missing?

  • Instruction guidance: a personality field, do's and don'ts, testing tips. Push people to set it up properly, or they'll get bad output and blame you.
  • Realistic test mode: simulate an incoming LinkedIn message, not a random chat.
  • The last mile: retrieve data (scheduled or webhook) → act (draft replies) → send back (optionally with approval). Basically OpenAI + n8n. Frame setup as: What comes in? What should it do? What goes out?
  • Social connectors: Instagram and LinkedIn DMs. I built a LinkedIn responder with HeyReach + MCP before and haven't seen anyone solve it well. Happy to share my repo.

6. Would I use it for real?
Not yet, I'd still integrate it myself. Close that gap and I'd use it for my LinkedIn responder. Pricing is fair: a few agents and messages cost 8 cents. People will pay good money for a solution like this.

7. What to improve first?
Examples. Show what you and others built, let people share agents, and go beyond support bots. Also add a personal touch: why you built it, how you use it. TestMyBuild worked because I solved my own simple problem. Solve one problem really well.

Challenge: build a LinkedIn DM agent (via HeyReach) entirely inside Cominty. You'll see exactly what would make this platform flawless.

Overall: tough industry, great base. Close the integration gap, guide better instructions, add examples, and this becomes really useful.

from the team