AI in Action.
See it. Try it. Use it tomorrow.
Tuesday 7 July 2026
18:00 – 20:30
41 Luke St, London EC2A 4DP
Viewing this on the big screen? Scan to open it on your phone, or type
ai-in-action.turingcollege.com into any browser.
No theory, no hype. Live demos of AI doing real work, a straight answer on what to hand off and what to keep human, and a fireside conversation on what actually happens when AI meets one of the world’s largest customer-service organisations.
• A clear picture of where AI fits your work right now
• A simple rule for what to delegate to AI and what to keep
• Every prompt from tonight, on this page, ready to reuse
Speakers: Jai Kharbanda (Applied AI Lead, Boom Training / Turing College) and Pulaq Pathak (Head of Product – AI Knowledge Platforms, Amazon Customer Service, Global).
A fast, gamified “can you spot the AI?” chat challenge. Scan in and you’ll be paired with either another person in the room or an AI chatbot. You won’t be told which.
Join the game: tap Play now below, or scan the QR on the big screen. Takes 3–5 minutes, and someone always argues with the reveal.
Play nowBuild a simple expense-splitting app for a group dinner. People add who paid for what, and the app works out who owes whom, with a one-tap settle-up summary. Mobile-first, warm colours, playful but professional. No login.
Swap the first sentence for your own idea. The same habit works in Claude, ChatGPT, Gemini or Copilot: describe the outcome, not the implementation, then iterate out loud.
Below are three real examples of how I write (an email, a chat message, and a longer doc). Study them and describe my voice back to me: tone, sentence length, sign-offs, favourite phrases, and words I would never use. Ask me three questions about anything you can't tell from the samples. Then, from now on, draft everything in my voice. [paste your three samples here]
Repetitive and rule-based · easy to check at a glance · cheap to get wrong once · first drafts, summaries, legwork
Judgment calls and trade-offs · relationships and trust · anything you’d have to apologise for · the final quality bar
The intern test: would you give the task to a bright intern on day one? Then let AI take the first pass, and check it like an intern’s work.
Pulaq built a trip expense-splitting app in Lovable without writing a line of code. We’re turning her full build conversation into a short, honest product-development walkthrough: every prompt, every wrong turn, and the moment it clicked.
Coming right after the session: the PRD-style walkthrough will be published on this page. Scan the same QR again on Wednesday.
Boom Training by Turing College runs practice-led AI and data programmes for working professionals, fully funded through the UK apprenticeship levy, which your employer may already be paying without using.
All programmes: programmes.boom-training.com
Lead the full journey of AI transformation: discover the opportunity, design the strategy, and deliver the change. Three units of 30 delivery hours each, built for senior leaders.
Levy-funded
Apply hereSpot where AI and automation genuinely improve how work gets done, then deliver solutions that are responsible, practical and valuable. ~18 months, alongside the day job.
Levy-funded
Apply hereDevelop the skills to turn complex data into clear, actionable insights that support real business decisions. ~15 months.
Levy-funded
Apply hereTurn the data your team already has into actionable insights, and hand the repetitive tasks to AI. ~15 months.
Levy-funded
Apply hereTry one thing tomorrow: hand AI one task off your list (intern test), teach it your voice (prompt 2 above), or rebuild tonight’s app with your own idea (prompt 1).
Stay in the loop:
Turing CollegeQuestions about programmes or bringing a workshop like this to your team? Find Jai at drinks, or reach the team via the programme pages above. If you apply, you’re sharing your details with Turing College / Boom Training for that purpose, nothing else, no spam.