Your systems thinking coach offers you three frameworks to see: (1) Root causes, (2) Leverage points, and (3) Stakeholders to influence.
Learn what Chroma Research discovered when testing 18 AI models—including the latest GPT, Claude, and Gemini versions—on how context length impacts performance. Each sign comes with evidence and a practical fix.
Join 790+ consultants, product, design, public sector, NGOs, and marketing leaders keeping ahead with the latest prompts.
9 mental models from behavioural science, design and systems thinking will help you uncover insights that neither you nor AI could crack alone.
When tested against 180+ cognitive biases, AI revealed 9 human biases it mirrors the most — and they’re the riskiest AI biases you need to watch out for.
Biases thrive when human context is missing. Just as referees make bad calls with VAR, we face the same risk every day when making quick decisions with AI.
Creative breakthroughs come from generating a large volume of ideas. See my AI prompt to help you unlock quality through quantity.
AI asks "good" questions when I train it to see what "good" looks like. Using 'How Might We' statements, behavioural science and design thinking canvases, I’m training AI to ask questions like a PhD-Level Consultant.
Apple’s latest research reveals a hidden flaw in AI: as problems get harder, reasoning collapses. This edition explores a powerful fix — training AI to reason dynamically using confidence, just as humans do when navigating uncertainty and complex decisions.
AI systems that can be created in the short-term are but decoys—these systems can trick us into thinking they are like human minds, but they are anything but.
Agentic AI shifts us from rule-based AI Agents to systems that coordinate goals and values — and help us understand context holistically. Beyond simple automation, it reflects systems thinking in action.
Train your AI research assistant to produce reliable and robust research. Learn how to reduce hallucinations with three targeted prompts and human-in-the-loop validations.
Dear junior researcher, we have a tendency to seek answers—but it is questions that teach us the most. Help me pause and reflect on 'good' research questions.
AI can enhance the speed of your client recommendations, but it can also distort what you recommend. The IN CASE framework helps you anticipate what might go wrong when using AI — before it affects the people you serve.
AI can help speed up research—but it can also spread fakes. Learn how to spot fraudulent papers, from fake authors to copied figures, and get practical tools to verify credibility before you cite.
Learn how a top AI team at Anthropic (creators of Claude) craft prompts that get clearer, more reliable results. Each of the 7 rules comes with a practical prompting example you can try.
Can you turn AI hallucinations into reliable evidence? Spot the three types of hallucinations—and apply proven strategies to get more reliable outputs from LLMs in your research.
ChatGPT can become a better behavioural scientist than me—but only if I prompt it right. Using the Double Diamond from design thinking, I’m teaching it how to think: when to diverge and when to converge.
Scaling a consultancy means more clients, more project management, and less time to do the actual work. AI workflows can conduct research, design experiments and generate robust insights—freeing you to focus on what matters most.
AI Mastery isn’t about talent—it’s about deliberate practice. Whether it’s in music, chess, or sports—and I believe AI too—the best learners refine their skills through intentional, focused improvements.
Great experiments aren’t just about accuracy — they’re about learning fast. Use ChatGPT to run a 4Ls review: What did you like, learn, lack, and long for?
Experiments don’t have to be complex, costly, or time-consuming. You can design rapid, low-cost tests with ChatGPT using these three simple ingredients