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AI in Action

A hands-on workshop where your team uses real data and AI to solve real problems, in real time. No slides. No theory. Just results.

Built for Impressive Digital by We Are Pioneers.

A machinist works a turret lathe in an aircraft factory, 1942

What you'll walk away with

This session shows your team what AI can actually do when it's pointed at real data. By the end, every person in the room will have built something with AI that would normally take hours, in under 15 minutes.

  • Practical AI confidence

    Every team member will have personally used AI to analyse data and generate strategic output. Not watched a demo. Done it themselves.

  • A repeatable framework

    The RICCE prompting method (Role, Intent, Context, Constraints, Examples) that turns vague AI requests into precise, usable outputs every time.

  • Two working prototypes

    Real notebooks your team can take away, adapt to client data, and use in production workflows immediately.

Two hours, four blocks

A rhythm that moves from foundations to advanced techniques to hands-on to debrief, so the learning actually sticks.

  1. Foundations

    45 minutes

    • What AI actually is (and isn't): a mental model reset
    • The RICCE framework for prompting
    • Live demo: messy brief to polished output in 60 seconds
    • Common mistakes that make AI useless, and how to avoid them

  2. Advanced AI frameworks

    35 minutes

    • Prompt chaining: building multi-step workflows that compound in quality
    • Few-shot and zero-shot techniques for consistent, structured outputs
    • System prompts and role-setting for domain-specific analysis
    • When to constrain AI and when to let it explore

  3. Hands-on: Task A or Task B

    30 minutes, choose one

    • Option A: The AI Greenlight Committee. Interrogate 40,000 movies to greenlight or pass on a pitch.
    • Option B: AI Marketing Strategist. Reverse-engineer why a film worked or flopped and build a campaign brief.
    • Pick the task that fits your role, then present your output to the room

  4. Debrief and Q&A

    10 minutes

    • Team share-back: what surprised you?
    • Where does this fit in your current workflows?
    • Open Q&A

Pick your task. Real data.

Choose the challenge that fits your role. Each person, in their own browser, using the same dataset the whole room is looking at. No spectators.

Readers at long tables in a library periodical room

Task A: The AI Greenlight Committee

You're a studio executive. A producer has just walked into your office with a pitch for a new film. Your job: use AI to interrogate a dataset of 40,000 movies (budgets, revenues, ratings, genres) and decide whether to greenlight the project or pass.

What this teaches

  • How to feed AI structured data and get strategic analysis back
  • How prompt specificity changes output quality dramatically
  • The difference between asking AI a question and giving AI a job

What you'll do

  1. Load a real movie performance dataset into Google Colab
  2. Invent a movie pitch: genre, budget range, concept
  3. Prompt AI to analyse what historically works at that budget and genre
  4. Get a greenlight or pass recommendation with projected ROI
  5. Let the AI play devil's advocate: it challenges your pitch with data
Marking criteria
CriteriaWhat we're looking forPoints
Pitch creativityIs the movie concept original and clearly defined?/20
Prompt qualityDid you give the AI enough context to make a smart recommendation? (RICCE framework)/30
Data usageDid the AI reference actual patterns from the dataset, not just generic advice?/25
Strategic thinkingDoes the final recommendation include specific numbers, projected ROI, comparable films, risk factors?/25
Total/100
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Task B: AI Marketing Strategist

Pick any movie from the dataset. Your job: use AI to reverse-engineer why it succeeded or flopped, then generate a full marketing campaign brief, as if you were the agency hired to launch it.

What this teaches

  • How to use AI for strategic analysis, not just content generation
  • How to chain prompts: analysis, diagnosis, creative output
  • How AI can accelerate the strategy-to-brief pipeline your team runs every day

What you'll do

  1. Choose a movie: big hit, hidden gem, or famous flop
  2. Prompt AI to analyse performance: budget efficiency, genre trends, competition, timing
  3. AI generates a diagnosis of what worked, what didn't, and what the data says
  4. Prompt AI for a complete campaign brief: positioning, audience, taglines, channels, timeline
  5. Present your brief. Could a client buy this?
Marking criteria
CriteriaWhat we're looking forPoints
Movie selectionDid you pick something with an interesting story in the data? A surprise hit or a big-budget flop scores higher than an obvious blockbuster./15
Analysis depthDid your prompts get the AI to surface non-obvious insights from the data?/25
Brief qualityIs the campaign brief specific, actionable, and client-ready? Tailored to the film, not generic./35
Prompt chainingDid you build on the AI's analysis to inform the creative brief, or start from scratch each time?/25
Total/100

40,000 movies. Real numbers.

Loaded straight into Colab. No setup.

A clerk working a Hollerith punched-card machine

Budgets, revenues, ratings, genres, release dates, production companies and audience scores for roughly 40,000 films, sourced from a public movie database.

You'll use AI to find patterns no human could spot manually in 15 minutes: which genres over-perform at low budgets, when timing kills a good film, and what the data really says about sequels versus originals.

Download the dataset

Practitioners first. Always.

We Are Pioneers is an AI-first consultancy that trains agency teams to actually use AI, not just talk about it.

We've trained teams at LEGO, Adidas and the Press Association. Every session is built bespoke. Every exercise uses real data. Every outcome is something your team can use the next day.

  • LEGO
  • Adidas
  • Press Association
  • BrightonSEO speaker
  • Certified AI Solutions Architect

Questions after the session?

Drop Jeremy a message if you need anything after the day. Otherwise, use your curiosity, and be ready to build.

Get in touch or email jeremy@wearepioneers.ai