Side project· R&D tool
Offer triage assistant: AI scoring and making an LLM's judgment reliable.
Automatic scoring tool that qualifies offers against defined criteria. Judgment reliability doesn't come from the model but from the firm, eliminatory rules imposed on it.
n8napi claudeairtable
Challenges
- 01.An LLM hedges by default and avoids committing: hard to get a reliable, reproducible judgment out of it
- 02.Make the automatic triage match the expected judgment exactly, with no drift
- 03.Qualify offers against defined criteria, consistently
Solutions
- 01.Reliability from rules, not from the model: firm criteria and eliminatory conditions imposed on the LLM rather than blind trust
- 02.Prompt iterated until the triage matched the expected judgment exactly, turning a hesitant LLM into a tool that commits
- 03.Orchestration pipeline: n8n triggers the scoring, the Claude API evaluates, results are logged and usable in Airtable
- 04.The reliability angle applied to scoring and automatic qualification
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