See how different outlets frame the same news story side by side
Intermediate16h1–3
Search APIEmbeddingsLLM
16/20Support Ticket Auto-Triage
Incoming tickets get a category, urgency and suggested reply automatically.
Intermediate14h1–3 people16/20 fit
Build Support Ticket Auto-Triage for small saas support teams in ~14h with 1–3 people. Stack: Embeddings + LLM + Postgres + Next.js.
Why it wins: A practical B2B tool with a clear before and after.
Build flow
01 · Problem
Small teams waste the first hour of every day sorting tickets by hand.
02 · Solution
Embed tickets, classify them against labelled examples, score urgency from sentiment and keywords and draft a reply from past resolutions.
03 · Build
- 1Collect labelled sample tickets
- 2Embed and classify by nearest neighbours
- 3Prompt for urgency and draft reply
- 4Build a kanban triage board
04 · Demo
Paste 20 sample tickets and watch them sort into a prioritised board.
MVP checklist
- Auto category
- Urgency score
- Similar past tickets
- Draft reply
Tech stack
| Tech | Role | |
|---|---|---|
| Embeddings | Semantic similarity | AI |
| LLM | Language model | AI |
| Postgres | Relational database | Data |
| Next.js | Frontend + API routes | Web |
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