AI Engineer’s Field Guide
A practical playbook for designing production AI systems
Votes
4
Comments
1
What this means
40%Vote pace is below typical for this category.
Running at 40% of comparable launches.
-35%Category cooling: Developer Tools.
Launches down 35% week-over-week.
16Founder Conviction Index: 16 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
3%
today
Projected end-of-day votes
4range 3–5
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
0.4×
61 comparable launches
About
Most AI system designs fail before the first model call because engineers pick a model or vector DB before framing the business decision. This Field Guide flips that: a top-down method mapping any problem onto 5 architecture pillars (Data, Intelligence, Orchestration, Guardrails, UX). Includes decision trees (RAG vs fine-tuning, agents vs single call, chunking), a phased build roadmap with cloud mappings, and a 10-incident production playbook. Interactive HTML + offline PDF.
Vote & comment velocity
Scores
Velocity0.0
Vote pace vs avg
Momentum0.0
Sustained over 6h
Virality0.0
Spread × engagement
Engagement50.0
Comments per vote