About
Practical, field-tested learnings from experienced builders shipping AI systems.
What this is
Field Journal is a central place for people in the industry to share “field journals”: practical learnings from shipping AI systems in the real world. It is written by experienced builders, including contributors from leading AI and tech companies. Think implementation notes, hard-won lessons, and patterns that survived contact with production.
Our mission
- Make AI work actionable. Share what actually moved the needle, with enough detail to replicate.
- Compress the learning curve. Turn one team’s experience into everyone’s leverage.
- Raise the bar on craft. Celebrate clear thinking, sound evaluation, and good engineering hygiene.
What we publish
- Case studies: what you built, constraints, what worked, what didn’t, what you’d change next time.
- Playbooks: repeatable workflows (prompting, tooling, evaluation, guardrails, deployment, monitoring).
- Postmortems: failures and near-misses (root causes, mitigations, and prevention).
- Notes and experiments: small proofs with clear outcomes and limitations.
Editorial principles
- Clarity over hype. Prefer specific claims to sweeping statements.
- Evidence over vibes. Include examples, numbers, or decision criteria when you can.
- Context matters. State assumptions: data, users, latency, cost, privacy, constraints.
- Respect privacy. Don’t share secrets, customer data, or sensitive prompts.
How to contribute
Email contribute@fieldjournal.ai with your post idea. If it’s a good fit, someone will reach out with next steps.
To protect the information contributors share, authors are anonymized by default. In practice that means posts are published under a pseudonym or as “Anonymous”, even if we coordinate directly with you behind the scenes.
We also do a private verification step so we can confirm you are who you say you are and that you have direct experience with the topic. If you want additional protection, we can run an AI-assisted anonymization pass on your draft to remove identifying details before it is published.
Many companies are understandably sensitive to proprietary information and IP leakage. Where needed, we involve legal review before posting to help avoid IP, confidentiality, and copyright issues.
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