AI Agents
Multi-Agent Decision Council
Several agents with different perspectives debate your decision and summarise trade-offs
Intermediate14h1–2
LLMLangGraphNext.js
16/20Customer Interview Synthesis Agent
Upload interview transcripts and get pain points, quotes and opportunity sizing.
Intermediate14h1–2 people17/20 fit
Build Customer Interview Synthesis Agent for founders and product managers in ~14h with 1–2 people. Stack: LLM + Embeddings + Next.js.
Why it wins: Every startup judge knows this pain.
Build flow
01 · Problem
Founders run interviews but never synthesise them properly.
02 · Solution
The agent tags each transcript with pains, jobs and quotes, clusters them across interviews and ranks opportunities by frequency and intensity.
03 · Build
- 1Upload transcripts
- 2Tag with the LLM
- 3Cluster tags
- 4Rank and render
04 · Demo
Upload eight transcripts and show the ranked pain list with quotes.
MVP checklist
- Transcript tagging
- Cross-interview clustering
- Quote evidence
- Opportunity ranking
Tech stack
| Tech | Role | |
|---|---|---|
| LLM | Language model | AI |
| Embeddings | Semantic similarity | AI |
| Next.js | Frontend + API routes | Web |
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