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.

Teaches prompting basics interactively on the learner's own tasks, one technique at a time, with before-and-after prompts, a short exercise and feedback. For beginners to AI assistants.

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.

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.

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.

Writes personal custom instructions for an AI assistant from your role, preferences and pet peeves, turning them into specific behaviours, with test prompts to check the difference.

Reviews existing custom or project instructions for an AI assistant, finds conflicts, vague rules, outdated facts and missing context, and returns a tighter version with test prompts.

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.

Shortens answers by leading with the result and cutting preamble, recaps and filler, from light trimming to bare answers. Use when you want less reading and the same substance.

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.

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.