What breaks first when AI agents hit production: data, tools, or approvals
Altadigit · reddit · 2026-10-20
A Reddit discussion on taking AI agents from demo to production. The author argues demos look flawless, but real business environments break them quickly:
- Conflicting CRM records and missing required fields
- APIs timing out mid-task
- Agents repeating already-executed actions
- Tasks blocked on approvals from unavailable people
The real challenge isn't making the model smarter—it's designing systems that handle uncertainty, recover from failures, and know when to stop and ask for help. Commenters debate whether tool reliability, data quality, or error recovery breaks first.
Related event: Five Common Pitfalls When Taking AI Agents from Demo to Production(2 posts)→
More from coding & agent
- Five things healthcare teams must settle before letting an AI agent near patient data — alex_verem · 2026-10-21
- AI pseudo-productivity: endless md files and Vercel links, but all you made is burned tokens — LadyAshBorg · 2026-10-21
- Dev workflow tip: use .tool-versions to standardize runtime bumps, but ship first, clean up later — DanielLockyer · 2026-10-21
- Standardize runtime versions with .tool-versions, read by most CI actions and mise — DanielLockyer · 2026-10-21
- Codex Calls CapCut's Libraries to Edit Video From Plain-Language Requests — aftahi_ai · 2026-10-21
- Seeking a tested ComfyUI workflow for Wan 2.2 14B T2V with custom LoRA — Existing-Target9494 · 2026-10-21