What this is
This is the canonical home for the 0.2.1 public-review edition of The Edge That Thinks: a practical field guide for teams building reliable generative AI systems on Cloudflare.
The premise is direct: a model call is not a product architecture. Production systems need explicit state ownership, durable units of work, governed tool access, retriable side effects, and observable routing decisions.
Independently authored by Kurt Overmier and published by Stackbilt. Not affiliated with or endorsed by Cloudflare.
Free public-review edition
Version 0.2.1 · August 2026. A substantive early edition shared for practitioner review. The complete book is free; corrections and review findings will inform version 1.0.
This is not the final 1.0 edition. Practitioner review, final assistive-technology review, and remaining publication gates are still open.
The curated web sample remains available alongside the complete downloadable edition:
Editable diagrams
Diagrams are committed as Mermaid source plus SVG output under /public/field-guide/figures. They are designed to remain legible in grayscale and avoid color-only meaning.
Checklist preview
The checklist is a launch conversation, not a maturity score. Start with these gates before adding model calls to production work.
Contract and state
- Is work a request, job, session, or workflow with explicit cancellation and terminal states?
- Is there one authoritative record and an idempotency key for every effect?
- Can duplicate delivery, timeout, partial completion, and retry converge safely?
Identity, models, and tools
- Is tenant scope resolved server-side for reads, retrieval, and tools?
- Are prompts, source data, derivatives, and telemetry separately classified?
- Can deletion reach artifacts, vectors, cache, and queued work?
Reliability and operations
- Can long work return an accepted job rather than an implausible finished response?
- Is large data kept out of queues and model context?
- Are downstream failures clear states rather than fabricated output?