After 6 Months of AI Doc Agents: Context-Gathering Beats Writing
Stock-Parking-411 · reddit · 2026-08-11
The author shares lessons from running an AI agent for consulting docs over six months. Simply generating prose from thin prompts saved little time, as the real bottleneck was gathering context, recalling past agreements, and structuring.
The breakthrough came from using fixed templates and forcing the agent to interview the user for missing pieces before writing. This yields an 80%-structured draft, leaving humans to only edit facts and tone. The author suggests selling the context-gathering and structuring capabilities, not the writing itself.
More from coding & agent
- Paper Proposes CEAA: Cognitive Architecture for Embodied Virtual Agents — Aimilios Hadjiliasi · 2026-08-11
- Beyond Pipelines: Exploring Multi-Agent Shared Chat Architectures — ronin4001 · 2026-08-11
- mgrep: A CLI-native Multimodal Semantic Search Tool Hits 4.3k Stars on GitHub — tom_doerr · 2026-08-11
- DeepSeek-V4-Flash in Action: Acting as an Autonomous Linux Sysadmin — breksyt · 2026-08-11
- Goodman's Grue Paradox: The Hidden Flaw in AI Agents — KimLikeJ · 2026-08-11
- The Complete Guide to Obsidian Dataview: Query Everything, Make It Last — dSebastien · 2026-08-11