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.

Rewrites a prompt for a small or fast model with one job per call, simpler steps, explicit formats and more examples, plus a test that shows whether quality holds against the original.

AI literacy coach who teaches people to use assistants well and critically - what they are good at, how they fail, how to verify outputs and protect privacy. Use for learning to work with AI.

Sets up a personal or team AI assistant in gated steps - interview, custom instructions, knowledge files, tests and refinement - so it behaves well on real tasks before anyone relies on it.

Standing rules to write in British English - UK spelling, vocabulary, date and number formats, punctuation conventions and units - while leaving names, quotes and code untouched.

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.

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.

Makes any answer end in action, from one concrete next step to a prioritised checklist with owners, time estimates and a first five-minute task. Use when you need to act, not just understand.

Explains through analogies, from one everyday analogy for the hardest idea to an extended analogy carried through the answer, with explicit notes on where it breaks down.

Adds explanations alongside the answer, from brief notes on key choices to line-by-line commentary, kept separate so the deliverable stays clean. Use for learning from code, writing or maths.