Pazi - Vibe code business operations
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Pazi is an AI team for that idea you keep coming back to — a book, a shop, an app, a skill you want to sell. Tell Pazi what you're trying to do and it builds a team of agents around your idea and starts making things happen: a website, first outreach, content, the next step. Every time you come back, something has moved. You stay in control; your team does the rest alongside you, one real step at a time. Like vibe coding but for business operations.
Replies
I'd probably trust this more if it occasionally explained why it chose one direction over another.
Pazi
@ranjan_kumar45 very interesting! That makes sense. I think for the time being, like in the next year or so, people will still have oversight over what the agent is doing - just like vibe coding a year ago
The strongest part of this is focusing on the loop after the build. For founder work, I would want every agent step to leave a trail: assumption, action taken, result, next choice, and where it stopped for approval. That is what keeps “business operations” from turning into busy-looking motion.
Pazi
@krekeltronics Yes, agreed! The question is how to show that in the most concise way so people actually want to review it.
Congrats on the launch! Coming from an ML research background, I'm curious how Pazi handles the agents' confidence in their own outputs. For example, when a growth strategy or piece of content is based on a shaky assumption, does the system surface that uncertainty to the user, or is it something you only catch after the fact by checking the dashboard? Cool direction either way.
Pazi
@tkargin That's about to be seen :) We're exploring this same thing
@zvonimir_sabljic1 looks awesome, congrats! How "enclosed" to does the concept need to be meaning what happens if the idea is reliant on super complex third-party API systems etc.?
Pythagora
@millwiller Thanks, Will! The idea doesn’t need to be fully enclosed. Pazi’s agents can work with external APIs and request credentials when access is needed. The more bespoke the integration, the more guidance and validation it may require initially—but if the API is documented and programmatically accessible, it should generally be a good fit.
@leon_ostrez Got it, nice! That's super helfpul.
Pythagora
@millwiller Thank you for the support!
awesome execution congrats 👏 @zvonimir_sabljic1 for shipping. qq how do you handle the context window limits when a business runs for 6 months and the agents have hundreds of past experiments to remember?
Pythagora
@vikramp7470 Thank you! Each agent has its own memory, alongside shared memory for the entire business. Both are continuously updated with relevant decisions, experiments, and results, so we don’t need to fit six months of raw history into every context window—the agents pull in the context that matters for the task at hand.
LockIn MCP
Lowkey need this!!!
Pythagora
@milhoornaert Give it a try and let me know how it went! Thank you for the support
Congratulations on the Launch🎉🎉. Visited your website, absolutely loved the interface and functions, i am just worried about AI Hallucination, and what can be done to prevent it?
Pythagora
@shahzeb7711 Thank you! Hallucinations are a real limitation of every LLM, but clear goals and instructions, combined with verification and review from other agents, help reduce them.
the "team of agents" framing is the interesting part - when Pazi sends real outreach on your behalf, is there a review step before anything external actually goes out, or does it just fire once it decides that's the next move?
Pythagora
@sabber_ahamed Today, there isn’t a mandatory review step for every email. You choose the opportunity and can instruct the team to draft outreach for approval first; otherwise, once outreach is within the direction you approved, the agent can send without per-message review.
Congrats on launching. The line that got me is "every time you come back, something has moved." As a solo founder I already run my startup close to this way, handing pieces off and checking results, so one coordinated team instead of me stitching ten tools together is the dream. Real question: when an agent takes the next step on outreach or content, how much sign-off do I get before it actually goes out? "You stay in control" is exactly where I'd want to feel the guardrails.
Pythagora
@worksource Thank you—and that’s a fair question. Today, control is conversational rather than a universal approval screen: you choose the opportunity and tell the team whether to draft first or execute. If you ask for sign-off, it waits; if you authorize autonomy, it acts within that scope.
Zvonimir, the graveyard of ideas I never pushed past the first weekend is vast. The notion of coming back to find something has actually moved forward, while I still steer, is quietly motivating.
Pythagora
@raphael_kamm Thank you, Raphaël! That’s exactly the feeling we hoped Pazi would create. We’d love to hear which idea you decide to bring back to life.