Start with the question
Each project begins with a concrete problem and a bounded scope. A small log parser that handles bad input reliably is a useful first artifact. A large system description without working evidence is still a proposal.
Separate the plan from the result
Planned briefs describe intended work. In-progress entries document partial implementation. Demonstrated work must include the artifacts and checks that support its claims. A status label describes the published evidence, not a level of professional seniority.
Write for two readers
A short summary should explain the question, impact, conclusion, and next action. The technical body should preserve the method, environment, evidence, and reasoning. Security reports should distinguish observation from inference and severity from confidence.
Make evaluation inspectable
An AI project report should explain its baseline, dataset, evaluation method, and failures. A result needs a denominator and testing conditions. If latency, cost, or quality has not been measured, the report should say so.
Keep contribution visible
Future reports will distinguish personal implementation, external sources, collaboration, and AI assistance. This website and its starter briefs were AI-assisted. They do not establish independent completion of the projects described here.
Publish the next useful observation
A short note can record a question, one experiment, the observed result, and what remains unresolved. Longer reports can grow from these notes once the evidence is ready. Download a template or use the drafting workspace to begin.