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FREE PDF · 25 PAGES

The Prompting Playbook: get reliably good work out of any model

Not a list of magic phrases - those stopped working. Twenty-five pages on what actually decides output quality: how to brief a model, how to diagnose a bad answer, how to test a prompt like a small piece of software, and how to turn the ones that work into assets your whole team can run.

  • The six-block brief, with a full annotated example
  • A debug table: six failure modes, six specific fixes
  • 18 copy-and-paste prompt patterns worth stealing
  • A one-page cheat sheet and a plain-English glossary
WRITTEN FOR
Anyone doing real work with AI. No maths, no API knowledge, no vendor pitch until the last page.
FREE DOWNLOADPDF · 25 pages · 2026

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A look inside

Four pages, unretouched

These are screenshots of the actual PDF - generated from the same source, so what you see is what you get.

Page 5 of the playbook: a full prompt broken into six labelled blocks.
p5 · the six blocks, annotated
Page 11: a table mapping each symptom of a bad answer to its likely cause and fix.
p11 · the debug loop
Page 19: copy-and-paste prompt patterns with a note on why each works.
p19 · the pattern library
Page 23: the one-page cheat sheet summarising the whole playbook.
p23 · the cheat sheet
What's in it

Seventeen chapters,
none of them padding

Short chapters you can read in an hour or raid one at a time. Every one ends with something to try on a task you already have open.

25pages
18prompt patterns
1page cheat sheet
  1. 01 Prompting is specification Why phrasing tricks stopped mattering and briefs didn't
  2. 02 The anatomy of a working prompt Six blocks - and the one everybody forgets
  3. 03 Three rewrites, annotated The same request, before and after
  4. 04 Context What to put in, what to leave out, what never to paste
  5. 05 Examples beat adjectives How many, and why one bad example helps
  6. 06 Giving the model room to think When to ask for the working - and when not to
  7. 07 Output shape and structure Tables, templates, JSON that survives contact with software
  8. 08 The debug loop Six failure modes, six specific fixes
  9. 09 Testing a prompt A fixed test set and a checklist, in half an hour
  10. 10 From a prompt to an asset Variables, owners, versions, worked examples
  11. 11 Choosing the model for the job Matching the work to the model, not marrying one
  12. 12 Chains, tools and agents What changes once a model can act, not just answer
  13. 13 Grounding Making answers checkable, and where invention concentrates
  14. 14 Judgement and the human in the loop Scaling review to consequence
  15. 15 Rolling this out to a team Twelve weeks from private tricks to shared assets
  16. 16 The pattern library 18 prompts to steal, with the reason each one works
  17. 17 Anti-patterns The habits that feel like technique and cost you quality
Four things you can use today

Ideas that survive the first Monday

The six-block brief

Task, context, constraints, format, examples, fallback. When a prompt fails, the missing piece is nearly always one of them - so you stop guessing and start checking.

The honesty clause

One sentence that turns silent invention into a visible to-do list: “if it isn't in the material above, write [UNKNOWN] and list the gaps.”

The debug table

Generic, made up, wrong shape, ignored a rule, too long, drifting - each symptom mapped to the specific edit that fixes it.

The team playbook

How the good prompt in one person's chat history becomes the version everyone runs: variables, owners, versions, and a test set that catches regressions.

Still scrolling?

Take the playbook. Share it with the team.

One PDF, no drip campaign, nothing to install. The chapter on turning prompts into shared assets is the one most teams wish they'd read six months earlier.

FREE DOWNLOADPDF · 25 pages · 2026

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Where this goes next

The best prompt anyone writes should be the one everyone runs.

StickyPrompts is one governed workspace for every model, prompt, document and automation - with a shared library where the good prompts live, versioned and owned.