Your agent isn't dumb, your data is lying: audit with 20-30 real questions before scaling
SUPERSAIIYANNN · reddit · 2026-10-20
Most teams hit the same wall with agents: the demo works, then answers go confidently wrong on real company data. The author lists common culprits—duplicate customer records across CRM/billing/support, inconsistent definitions of "revenue", overly broad access, and untraceable answers. Instead of maturity scores, he proposes a direct audit: take 20-30 questions your team actually asks, run them against a read-only data sample, grade each answer, fix what broke, then give agents logged, scoped MCP access to cleaned data.
More from coding & agent
- Developer turns son's PC into a GitHub runner, then realizes the security risk — tristanbob · 2026-10-20
- ArkenOS launches Optimus-1, a swarm harness for autonomous research — _AustinCalvert_ · 2026-10-20
- Zero code, seven minutes: AI built a Bitcoin-prize hacker puzzle game for a 30th birthday — jamesbrooksco · 2026-10-20
- 10-step workflow to set up Claude Cowork as a personal AI workspace in 2 hours — nikola_mr64990 · 2026-10-20
- OpenAI DevDay Bengaluru: staff share lessons on long-running agents — paw_lean · 2026-10-20
- Proof of Agent: an experimental network where AI agents mine, grade and self-govern — adamamcbride · 2026-10-20