Prompter - Your guide to mastering AI & Prompts

Prompter - Your guide to mastering AI & Prompts AI prompts, workflows, and visual systems for better outputs.

Nobody tells you this about AI subscriptions: the model is Level 1.Level 2: context.Level 3: constraints.Level 4: output...
18/08/2026

Nobody tells you this about AI subscriptions: the model is Level 1.

Level 2: context.
Level 3: constraints.
Level 4: output format.
Level 5: feedback loop.

Run this:
Turn [task] into a 5-level AI system: model, context, constraints, output format, and a pass/fail test. Ask for missing inputs first. Keep each level cheap to run.

Swap [task]. If it starts with tools, restart with the outcome.

Buying access is Level 1. Building the loop is the upgrade.

18/08/2026

Most AI prompts fail before the question starts.

Not because the model is dumb. Because the task has no shape.

Add this 3-line control header:
Role: You are a ruthless editor.
Goal: Turn the notes below into 5 decisions.
Output: A table with decision, reason, next action.

Then paste the task. Swap the role, goal, and output for your work.

Your AI is not forgetful. Your workflow is.Stop rebuilding context in every chat.Make a 12-line brief:2 lines on your ro...
17/08/2026

Your AI is not forgetful. Your workflow is.

Stop rebuilding context in every chat.

Make a 12-line brief:
2 lines on your role.
2 on your audience.
2 on your goal.
2 on your constraints.
2 good examples.
2 tone rules.

Then run:
Read this brief. Return 3 sections: rules to follow, missing facts to clarify, and the best first action. Do not invent details.

[PASTE YOUR BRIEF HERE]

Swap the bracketed brief for your own. Better prompts start before the prompt.

17/08/2026

Stop collecting AI tutorials. Build one feedback loop.

Three sessions beat an endless reading list:
1. Learn one move.
2. Use it on a real task.
3. Test the output against a pass/fail rule.

Paste this prompt:
Turn this goal into a 3-session practice plan. Goal: [goal]. Current level: [beginner/intermediate]. Time per session: [minutes]. For each session, give one concept, one 10-minute exercise, one pass/fail test, and one mistake to watch for. End with one tiny project that combines all three. Do not recommend courses, links, or tools unless the exercise truly needs one.

Swap the brackets and keep the project small enough to finish today.

The fastest way to get a hallucinated answer is to ask for one immediately.Answers go off the rails before the answer ap...
17/08/2026

The fastest way to get a hallucinated answer is to ask for one immediately.

Answers go off the rails before the answer appears. Before solving, map 5 things: known facts, changing variables, available actions, missing information, and what could prove the answer wrong.

Paste this:
Before answering, map the problem in 5 bullets: known facts, changing variables, available actions, missing information, and conditions that would invalidate your answer. Then answer briefly and ask one focused question if blocked. Task: [paste the real task]

15/08/2026

What part of prompting did you have to learn the hard way?

Looking for the tiny prompt change, workflow, or rule that changed your results.

14/08/2026

AI is not a Swiss Army knife. It is a blank control panel.

Most people throw one vague request into the chat and call that a workflow.

Use a 4-lane map first: goal, inputs, constraints, and output.

Paste this:
You are my task router. Before solving the request, build a 4-part ex*****on map: goal, inputs, constraints, and output. Ask no more than 3 questions only when a missing input blocks the work. Then give the first action. Task: [paste the real request]

Swap the bracketed request for the real job.

14/08/2026

Rework starts before the model sees the prompt.

The missing detail becomes another round of “that’s not what I meant.”

Use a 5-part handoff contract: outcome, inputs, constraints, 3 acceptance checks, and first move.

Paste this:
You are a task handoff editor. Turn the request below into a production-ready brief. Do not solve the task. Return exactly 5 sections: outcome, inputs, constraints, acceptance checks, first move. Mark unknowns as [NEEDS INPUT]. Request: [paste the messy request]

Swap the bracketed request for the real task. Keep the checks observable.

14/08/2026

Your AI is not confused. You gave it nowhere to land.

“Review this document” is a wish, not a task.

Name the receipt first:
Read this vendor agreement. Flag each clause that creates delivery or legal risk. Score severity from 1 to 5. Return a table with: clause, risk, score, reason, next action.

The output shape does half the thinking.

Swap “vendor agreement” for your document. Keep the columns specific.

A vague prompt asks for work.
A defined receipt makes work inspectable.

14/08/2026

Claude Code is not a chatbot with a fancy logo.

Treat it like a junior engineer: give it the repo, goal, constraints, and tests.

Use this brief:

You are working in [repo]. First inspect the relevant files. Then propose a small plan. Implement only the requested change. Run the relevant tests. Report files changed, test output, and any assumption.

Swap [repo] for your project path.

Better brief, better build.

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