Prompting and assistants

Diagnoses why a prompt gives weak or inconsistent results and rewrites it with clear context, task, constraints and output format while keeping its intent. Use on any prompt for any AI assistant.

Rewrites a prompt for reasoning-capable models by removing step-by-step micromanagement, stating goals, constraints and success criteria, and keeping the output format exact.

Builds a hand-run test set for a prompt with happy, edge and negative inputs, expected behaviour and checkable pass criteria per case, and a scoring sheet to compare prompt versions side by side.

Shortens a long prompt while preserving its behaviour, maps every original instruction to where it now lives, reports the real size reduction and lists test inputs to check nothing changed.

Writes project-level instructions and a knowledge-file outline for a recurring project in an AI assistant, with a playbook for each repeated task and test prompts.

Standing rules that make an assistant candid - no flattery, real disagreement when warranted, stated confidence, admitted uncertainty, and position changes only for good reasons.

Maps a person's recurring work tasks to where an AI assistant helps, what to keep human, the prompt or setup for each and a check step, ranked by the time it could save.

Reviews existing custom or project instructions for an AI assistant, finds conflicts, vague rules, outdated facts and missing context, and returns a tighter version with test prompts.

Moves answers toward scholarly register, from precise terminology to full academic prose with hedged claims, defined terms and a citation placeholder for every factual claim.

Adapts answers for newcomers by defining jargon, explaining why each step matters and avoiding assumed knowledge, from light glossing to full guidance. Use when the reader is new to the topic.

Answers in two languages for learners, from key terms glossed in the target language to the full answer in the target language with native-language support only where needed.

Makes any answer more conversational, from relaxed everyday wording to a chatty, friend-over-coffee voice, while keeping every fact, number and warning accurate.