FIELD NOTES / PRACTICAL GUIDES
Build with evidence.
Operate with control.
Original guides for small teams deciding where AI fits, how to test it, and what responsible delivery requires after the demo.
8 guides · No sponsored posts · Updated as the work evolves
EDITORIAL INDEX
Start with the decision in front of you.
Each guide is written to support a concrete planning, prototype, evaluation, or production decision—not to promise an automatic outcome.
How to choose the first workflow to automate with AI
A practical scoring method for selecting a useful, bounded first AI automation project without beginning with the model.
A practical plan for a 10-day AI prototype sprint
How to structure ten business days around one decision, representative data, visible evaluation, and a responsible handoff.
Designing document automation that survives messy inputs
A field guide to extraction, validation, provenance, exceptions, and review when business documents refuse to follow the template.
Human-in-the-loop AI without creating a new bottleneck
How to place review at meaningful decision points, expose evidence, and learn from corrections without routing everything through a person.
From AI prototype to production: the work the demo skipped
A production-readiness map covering ownership, data, evaluation, security, reliability, cost, and rollback after a prototype proves useful.
What an AI automation really costs a small business
A complete cost model for discovery, implementation, model usage, review, integrations, maintenance, and the risk of automating the wrong work.
How to evaluate an AI automation before trusting it
Build an evaluation set, define task-specific rubrics, measure workflow outcomes, and keep quality visible as the system changes.
Why Cloudflare Workers fits focused AI prototypes
An architecture guide to using edge functions, static assets, queues, storage, and explicit service boundaries for small AI systems.
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Have one workflow worth testing?
Start with the smallest decision-worthy prototype. The service scope includes workflow mapping, working software, evaluation, source, and a practical handoff.
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