Watch us transform ideas into production AI in days, not months.
Vibe coding meets real-world impact.
PMs who ship AI products at lightspeed
Vibe Coding Architect
Project
AI Sales Agent
Impact
100+ fewer clicks, auto-booking magic
Radical Efficiency Champion
Project
Business Accelerator
Impact
Code-to-live in days, not months
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[Upload Hannah's demo here]
Eval Architect
Project
Vibe Prototyping + Evals
Impact
Test lead time slashed
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[Upload Joseph's demo here]
AI PRD Pioneer
Project
AI PRD Tool
Impact
Raised experiment hit-rate
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[Upload Hlib's demo here]
Real products. Real metrics. Real impact. Watch the demos below.
Multiātextbook skills + 1:1 empathy + instant booking reduces friction and opens a new conversion lane.
“Professionals buy in when the pie grows.”View Details
LLMs summarize wikis and label chats; evals catch regressions in bot experience during tests.
“Evals saved time validating bot experience changes.”View Details
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Upload Joseph's demo video here
Rapid prototype to gather insights and gauge demand; āProfit Boostā proves mustākeep value.
“Validate with real insights first.”View Details
[Video Demo Placeholder]
Upload Hannah's demo video here
AI as planning copilot and usertesting.com + AI summaries to spot gaps before launch.
“Vibeācoding speed surprised us.”View Details
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Upload Hlib's demo video here
Six months of relentless innovation, captured in milestones
First vibe-coded agent reduces 100+ clicks
Chatlog evals catch regressions automatically
Code-to-production in days proves radical efficiency
Pre-experiment evals raise experiment hit-rate
After-hours legal voicebot enters 4-firm beta
6 prototypes shipped, team velocity 3x traditional
Assistant framing increases trust and conversion.
Preāexperiment evals reduce deadāends.
Profitācritical features drive retention intent.
Lawyers will trial AI if ROI/lead quality is clear.
This is what shipping AI at light speed looks like. Real code, real patterns, real impact.
1// Vibe-coded AI agent in action2const aiAgent = async (userInput) => {3 const context = await getConversationHistory();45 const response = await llm.complete({6 messages: [...context, { role: "user", content: userInput }],7 tools: [bookAppointment, getAvailability],8 temperature: 0.79 });1011 if (response.tool_calls) {12 return await executeTool(response.tool_calls[0]);13 }1415 return response.content;16};
Want to see how we built this microsite itself? It's vibe-coded too.