After 200+ agent projects, three blockers keep demos from shipping: data, process, prompt bloat
max_gladysh · reddit · 2026-10-30
Drawing on 200+ deployments, BotsCrew argues the model is rarely why agents stall. Data: Kravet's assistant was wrong 6/10 times due to 1,000+ outdated, contradictory docs; cleaning the knowledge layer and wiring live inventory lifted accuracy from <60% to 90%. Process: a furniture maker hand-processed 250 POs/week across three systems with the workflow only in coordinators' heads; mapping it in one session plus a synced data layer and code-level guardrails projected 12+ hours/week saved. Shipping: S&B Filters' CEO prototype took 4–6 min per answer with a 40-page prompt; rebuilt around direct ERP retrieval and streaming, lookups now take 10s and 83% resolve without humans. Key insight: a 30 in one subscore caps your overall 65. Ends with a promo for their free 10-question AI readiness assessment.
More from coding & agent
- GitHub Universe talk: 'Build once, run on any agent' with slides and skill files — 0xkarasy · 2026-10-31
- Codex Remote live activities go live in the ChatGPT iOS app for tracking agent tasks — SIGKITTEN · 2026-10-31
- Open-source pixel FX bring a 3D wizard battle to life with slimes, archers and a golem — majidmanzarpour · 2026-10-31
- Redditor builds personal agent with Gmail, Docs and Todoist, mulls open-sourcing — Sweaty_Rich7217 · 2026-10-31
- Krea 2 + H3 morph workflow auto-generates soundtracks via SigLIP2 and Suno MCP — Accurate_Public4674 · 2026-10-31
- Fighting app spam in the LLM era: risk scoring and checkpoints, says ex-Tinder exec — nikitabier · 2026-10-31