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the AI prompt library
Every prompt from the digital bootcamp, collected in one place and grouped by the job you are doing. 39 prompts today, and each new episode adds its own.
Every prompt says which day it comes from, so you can go back to the exercise that explains it. They are starting points: give them your real context, and check what comes back against primary sources.
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Prompt basics
7Role, audience and context, and the assumptions a model makes wherever you leave a gap.
How models work
5See prediction, fluency and training data for yourself, in your own tool.
Model and effort
5Compare settings, make assumptions explicit, and stress-test an answer before you use it.
Big policy moments
3Summarise a speech, map it to your files, and turn it into an advocacy plan.
Research and evidence
3Organisational and issue research with sources, gaps, and context you can reuse.
Narrative and message
5Public narrative, and the same approved message carried across channels.
Stakeholders and audiences
4Verified stakeholder research, audience accessibility, and an inclusion check.
Visuals and video
3A creative brief first, then image concepts and short-form video prototypes.
Publish, measure and translate
4Rollout planning, measurement levels, and localisation that a fluent human approves.
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Prompt basics
Role, audience and context, and the assumptions a model makes wherever you leave a gap.
Control prompt: no role, no audience, no constraints
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Day 1 · Exercise 1: run the same question with three different roles →Role prompt A: communications trainer
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Day 1 · Exercise 1: run the same question with three different roles →Role prompt B: EU civil servant
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Day 1 · Exercise 1: run the same question with three different roles →Vague audience prompt: one word of context
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Day 1 · Exercise 2: audit what the model assumes →Assumption-audit prompt
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Run this in the same conversation, straight after the answer you want to audit.
Day 1 · Exercise 2: audit what the model assumes →Context-rich audience prompt
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Day 1 · Exercise 3: replace assumptions with real context →The human version
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Day 4 · Anatomy of a useful working prompt →
How models work
See prediction, fluency and training data for yourself, in your own tool.
Prediction test: next word
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Run it three times, each in a new conversation, and compare the first word of each answer.
Day 2 · Large language models: prediction, not truth →Fluency test: persuasive language
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Day 2 · Large language models: prediction, not truth →Representation test: which humans?
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Day 2 · Training data: which humans are represented? →Dictionary test: explain the stack
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Day 2 · The AI dictionary on one screen →Verification test: what needs checking?
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Day 2 · Exercises →
Model and effort
Compare settings, make assumptions explicit, and stress-test an answer before you use it.
1. The same task, two settings
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Run it once with a faster model on lower effort, then with a stronger model on higher effort, and compare.
Day 3 · Prompt pack: compare, verify and stress-test →2. Make the plan and assumptions explicit
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Day 3 · Prompt pack: compare, verify and stress-test →3. Stress-test the argument
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Day 3 · Prompt pack: compare, verify and stress-test →4. Decide how much AI this task deserves
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Day 3 · Prompt pack: compare, verify and stress-test →5. Compare two model outputs
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Day 3 · Prompt pack: compare, verify and stress-test →
Big policy moments
Summarise a speech, map it to your files, and turn it into an advocacy plan.
Summary prompt
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Check every material commitment against the official transcript before circulating the summary outside your immediate working team.
Day 3 · Worked exercise: build your SOTEU AI workflow →Mapping prompt
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Use a stronger model at high effort. Read the evidence and stated assumptions as carefully as the conclusion.
Day 3 · Worked exercise: build your SOTEU AI workflow →Action plan prompt
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The answer may sound strategically convincing even where the underlying assumptions are weak. Treat it as a draft for human judgement, not as the campaign decision.
Day 3 · Worked exercise: build your SOTEU AI workflow →
Research and evidence
Organisational and issue research with sources, gaps, and context you can reuse.
Prompt 1.1 · Organisational research
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Day 4 · Build a verified organisational brief →Prompt 1.2 · Stable context
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Day 4 · Create a reusable organisational brief →Prompt 2 · Deep research
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Day 4 · Build the issue evidence base →
Narrative and message
Public narrative, and the same approved message carried across channels.
Prompt 3 · Public narrative
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Day 4 · Explain why the campaign exists →Sub-prompt 3.1 · Clarity, authenticity and evidence
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Day 4 · Explain why the campaign exists →Sub-prompt 3.2 · Online reading
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Day 4 · Explain why the campaign exists →Prompt 5 · Channel adaptation
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Day 4 · Turn the campaign framework into clear public communication →Follow-up · The clarity test
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Output: first-draft channel adaptations ready for human editorial and compliance review.
Day 4 · Turn the campaign framework into clear public communication →
Stakeholders and audiences
Verified stakeholder research, audience accessibility, and an inclusion check.
Prompt 4 · Verified stakeholder research
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Day 4 · Map the stakeholder landscape →Layer in deep research
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Day 4 · Map the stakeholder landscape →Prompt 4.1 · Audience accessibility
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Day 4 · Test whether your communication works for different audiences →Prompt 4.2 · Inclusion check
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Day 4 · Inclusion check: who could our campaign be overlooking? →
Visuals and video
A creative brief first, then image concepts and short-form video prototypes.
Prompt 6 · Visual concepts
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Day 5 · Build the visual brief →Follow-up · Generate a prototype
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Day 5 · Build the visual brief →Prompt 7 · Short-form video prototype
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Day 5 · Turn the visual brief into motion →
Publish, measure and translate
Rollout planning, measurement levels, and localisation that a fluent human approves.
Prompt 8 · Seven-day content plan
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Day 5 · Build the rollout around campaign objectives →Prompt 9 · Measurement framework
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Day 5 · Measure the campaign, not the content machine →Follow-up · Hypotheses, not conclusions
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Day 5 · Measure the campaign, not the content machine →Prompt 10 · Translation and localisation
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Day 5 · Adapt the campaign across languages →