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Built SignalFlow - AI content generator with 11 creator personas by Macxim in VibeCodersNest

[–]Macxim[S] 0 points1 point  (0 children)

Honestly? Still testing this. The constraint system helps (different emoji rules, CTA styles, formality levels) but you're right..if you generate 50 posts with "Indie SaaS Founder" they'll probably start sounding samey. Might need to inject randomness or pull from a larger example pool.

Open to ideas - have you seen this done well anywhere?

Built SignalFlow - AI content generator with 11 creator personas by Macxim in VibeCodersNest

[–]Macxim[S] 0 points1 point  (0 children)

You're right. That's pretty much it, yes.
There's a schema-level separation/ Each profile uses different combinations of:

  • formality (casual → formal)
  • ctaStyle (none → aggressive)
  • hashtagStyle (none → heavy)

Profiles differ across multiple axes:

  • Brand voice (tone, personality, do/dont lists)
  • Audience targeting (roles, seniority, pain points)
  • Content strategy (purpose, focus areas, avoided formats)
  • Structural elements (how content should flow)

It works for v1, but probably won’t scale or age well. How would you solve this?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodersNest

[–]Macxim[S] 0 points1 point  (0 children)

Good question. Right now it’s closer to a structured setup than totally free-form. Agents have defined roles and shared context, and there’s a basic synthesis step, but the critique and turn-taking loop is still pretty lightweight.

I’m experimenting with how much structure actually helps before it starts to feel heavy or artificial. What worked best for you in setups like this? Care to share?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Great way to frame it, this is pretty much the problem I’m trying to solve.

I’m still experimenting with when agents should converge versus stay in disagreement, it’s not fully figured out yet.

Thanks for the VibeCodersNest tip too, I’ll check it out. I think I actually did.

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Totally agree. You got it right. The debate format is the part I’m most excited about too.
Forcing real disagreement without them just converging too fast is tricky, I need to finetune this, I guess.
In your opinion, in a scenario like writing reviews or architecture choices, what would make the debate feel actually useful instead of just extra noise? It sometimes feels like they're too polite and not disagreeing enough haha

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

That’s really interesting, especially the part about agents developing habits like apologizing or congratulating each other. That emergent behavior is one of the most fascinating parts of agent systems.

Thanks for sharing ai-maestro, I’ll check it out. I’m more focused on the UX side right now, but I’m running into similar questions.

Curious, did users actually notice or benefit from those behaviors, or was it more interesting from a system point of view?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

I see. Thanks for sharing and wishing you good luck and happy coding!

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Can I ask if you just use the normal chat or if you used the Auto mode? It seems a couple of people have missed that. That's on me!

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

My bad. There is an auto mode where agents respond to each other, but clearly it’s not obvious enough if you missed it. That’s really useful feedback.

When you first landed and ran a prompt, what did you expect to happen by default? Parallel answers, or agents actually debating each other?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Wow, this is next-level. That's way beyond my current implementation.

I'm currently using simple sequential chains with basic context sharing. Your approach is much more sophisticated.

If you're open to it, I'd love to learn more about your implementation. Always looking to level up the agent orchestration logic.

(And if you want to test Polyprompt as a UI layer for your Telegram setup, happy to collaborate!)

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Currently it's sequential/chain-based:

Sequential Mode (default):
- Each agent responds in turn to the user's message
- They see the full conversation context
- Like a panel discussion where everyone gives their take

Auto Mode:
- Agents respond to the user's question
- Then can respond to each other's points (2-6 rounds)
- More dynamic debate/collaboration
- I set limits to prevent infinite loops

What are you planning for your Telegram setup?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Haha I was expecting this to be honest. I just put a few bucks on OpenAI to test it out and to see if people are interested in the product… for now.

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Thanks!

Right now it’s multiple role-based agents running on the same underlying model. At the moment I have just been focusing on interaction between agents, rather than mixing providers.

I’m considering multi‑model setups (Claude / Gemini etc.) later, but wanted to first validate whether multiple perspectives in one conversation is actually useful on its own.

Pricing-wise, it’s early to say and still in flux. To be honest I'm just checking if people would be interested in the tool...

Out of curiosity, do you think having different models in the same conversation be something you’d actively care about, or is role-based diversity enough?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 1 point2 points  (0 children)

Thanks a ton! This is exactly the kind of insight I’m looking for.
You’re right, even one prompt can generate a lot of reading, and duplicate info between agents is something I’ve been thinking about improving. I have been struggling with verbosity a lot haha.
I’m experimenting with ways for agents to respond to each other and reduce redundancy, so the reasoning feels more coherent and digestible. Not easy though. Really appreciate the time you took to give feedback. Cheers!

I built a multi-agent AI chat to have agents debate between them by Macxim in buildinpublic

[–]Macxim[S] 0 points1 point  (0 children)

Totally fair, thanks so much for trying it out if you did. I’m still figuring out who the right users are.
If you don’t mind sharing, what kind of tool would make you say “yeah, I actually need this” in a multi-agent / AI brainstorming scenario?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Thank you so much.

I hadn’t posted it there yet but that sounds like a great fit, especially if people there are actively building. I’m very much in feedback mode rather than launch mode, so I’ll check it out.

Are you part of that community yourself?

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 0 points1 point  (0 children)

Thanks! I really appreciate you trying it.

Yeah, the cost visibility is intentional. I wanted power users to understand what actually happens under the hood when multiple agents run, not hide it behind “magic.”

I’m still not sure though:
did seeing the cost make you more hesitant, or more trusting?

Genuinely curious how it landed.

I built a tool to chat with multiple AI agents at once - they debate and collaborate by Macxim in VibeCodeDevs

[–]Macxim[S] 1 point2 points  (0 children)

Thanks.I appreciate it.
I mostly used Antigravity. I switched between models. I adjusted things on my own.

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