Make ChatGPT reliable for your work — fewer rewrites, less drift, more trust.

A 30-minute follow-up call to review your setup and help with a practical next step Three tools you can keep using: MyPurposeGPT to clarify your goals, Obedience Training to configure how ChatGPT works with you, and Prompt Pal to help you develop better prompts Workshop = your personal setup and guided practice.Follow-up = help putting it to use. Small group (max 8) so you get real hands-on support — not a webinar. Plus one 30-minute post-workshop call to review your setup and help you apply what you’ve learned. You don’t need more AI tricks. You need a setup that reduces guesswork — so you can move faster without rewriting everything. If you’ve tried ChatGPT and found the results inconsistent, you’re not alone. Among capable, busy professionals and small teams, this is common. The issue isn’t effort — it’s that the system isn’t set up yet. What this is (and isn’t) This is not a lunch-and-learn, a lecture, or a passive walkthrough. It’s a hands-on working session where you actively set up ChatGPT for the real work you do — with guidance, iteration, and live adjustment throughout.This is a practical, tailored setup that makes ChatGPT usable for the work you actually do — the outputs you need, in the formats, tone, and level of precision that help you move faster so you’re not fighting the tool or rewriting everything it produces. Mechanism (why this works): You’re not learning clever prompts. You’re learning what makes prompts work — so you can create them yourself, adapt them on the fly, and know why something succeeds or fails. You’re building a personalised foundation for ChatGPT — clear purpose, constraints, and clean context habits — to reduce guesswork and get more useful outputs. You’ll also learn to spot assumptions, question answers, and improve the result. What you’ll learn (practical, plain language): How to set personalisation so outputs match your tone and standards How to keep context clean and reduce drift How to apply your setup to real tasks, work in stages, and review and improve the results You’ll know it’s working if… You’ll leave with a baseline that improves output quality immediately — and reduces the revision loop that quietly costs you time. You’ll know it worked when: In a brand-new chat, ChatGPT can describe how you intend to use it accurately and specifically (not vaguely or generically). Drafts get you ~80% of the way there — instead of requiring multiple passes just to make them usable. You spend less time correcting tone, fixing assumptions, and re-explaining context. Most people notice the quality lift first. The time savings follow because you’re no longer re-doing the same work. The moment it clicks (you’ll do this live) After we set up your personalisation (including a short MyPurposeGPT exercise), you’ll open a brand-new chat and ask: “What do you know about me, and how do I intend to use ChatGPT?” If the answer is vague, that explains the “meh,” the drift, and the endless rewrites.If the answer is accurate and specific, you now have what most people don’t: a setup tailored to your style, preferences, and goals. What you’ll use this for (examples) This is built for the work that quietly eats your day: Client emails that don’t sound like a robot — and don’t take 30 minutes to write Messy notes → clean outlines → usable drafts Reusable documents and templates where the first draft lands ~80% complete Turning vague ideas into clear structure you can actually act on If your work involves nuance (client work, writing, advising, decision-making), this is exactly where reliability matters most. Why most attempts fail (plain language) Most people don’t have a prompt problem. They have a context problem. If it’s felt like you’re doing extra work to “manage” the tool, you’re not imagining it — most people are using ChatGPT without stable context, so it has to guess. Personalisation either isn’t set up — or it’s too generic to matter.As a result, ChatGPT doesn’t have stable guidance for your tone, priorities, constraints, or the kind of work you actually do, so you’re constantly having to repeat yourself. Context isn’t managed cleanly. When unrelated tasks live in the same long thread, the model starts guessing what matters. That’s when outputs drift and revisions pile up. Neither of these are obvious, and it isn’t widely explained. It’s not your imagination — the tool should behave more consistently once context is set correctly. The frustration isn’t your fault. Fix those two things and the same prompts suddenly work better — because you’re no longer fighting the system. Who this is for This workshop is for individuals and small teams who need to stay agile — where people often wear multiple hats and don’t have the luxury of over-specialization. It’s well suited to: Small business owners / owner-operators Lean teams wearing multiple hats Solo professionals and independents Consultants, advisors, creators, operators who do a mix of thinking, writing, and decision-making work Especially useful if you: want better first drafts and fewer rewrites need systems that work across roles, not just one task value being highly resourceful with limited time and attention don’t want another tool that adds overhead or complexity care about quality and reliability, not novelty If you or your team regularly switch contexts — strategy one moment, execution the next — this setup helps ChatGPT support that reality instead of fighting it. This workshop establishes the baseline. More advanced workflows and team-specific systems build on this foundation later. Fit filter (so expectations are clean) Th