AI Workshop at Space Academy (Workshop at Space Academy)
5/6/2026
My workshop teaching application of AI-based workflows, with focus on sutainability and n8n
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VWO AI Workshop (Workshop at Convex 2025)
5/6/2026
Virtual workshop teaching application of AI-based workflows
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The Big Tech Problem and the Small Model Solution
2/3/2026
Big Tech’s AI is a climate & ethical nightmare. But there is an alternative to using their AI models, and these alternatives actually work better...
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Ethics, Experimentation, and Responsible AI
12/20/2025
Discussion on Responsible AI and ethics.
Read more →Getting started with OpenRouter
11/28/2025
Here's the easiest way to get started with using small models
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The AI sustainability problem, and the small model solution (Keynote at CH2025)
11/22/2025
My talk at the Experimentation world's premier conference in Texel, Netherlands...
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A Beginner's Guide to AI Automation with n8n
11/10/2025
Step-by-step guide to building AI workflows with n8n and your local Ollama model. No coding required. Published on Convert.
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Local LLMs Part 4: How to Build Your Own Personal Chat Interface
10/27/2025
Set up one chat interface to compare local and cloud AI models side by side. Uses Open WebUI, Docker, Ollama, and OpenRouter. Published on Convert.
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Local LLMs Part 3: How to Set Up a Local LLM Server Using LM Studio and Ollama
10/13/2025
Expose your LLM as an API so other apps and workflows can use it. Covers LM Studio Developer Mode and Ollama in the terminal. Published on Convert.
Read more →An essential AI hack: thinking in terms of output
10/3/2025
When developing apps and workflows with AI, thinking in terms of outputs can be incredibly useful.
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Local LLMs Part 2: How I Defeated ChatGPT 5 with the Smallest Language Model I Could Find
9/24/2025
How to get a tiny 0.6B model to match ChatGPT on messy user feedback—using “breakpoints” and splitting the task by sentiment. Published on Convert.
Read more →Small models: easy, addictive, and surprising
9/11/2025
The rate of progress in large language models is slowing. The rate of progress in small language models is increasing.
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Local LLMs Part 1: Exploring the World of Small Language Models
9/10/2025
Why run small models on your own machine, and how to use LM Studio to find and test them on real tasks. Published on Convert.
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Smaller models, smarter prompts, and the lessons learned from "strawberry-gate"
8/6/2025
What the “how many R’s in strawberry?” moment teaches us about LLMs—and five practical ways to use AI more clearly and responsibly. Published on Convert.
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AI Hallucinations. Why AI Lies and How to Keep It Honest
6/26/2025
What AI hallucinations are, why they happen, and four practical ways to spot and manage them. Published on Convert.
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Context Windows, Structured Data, and the Fundamentals of Text Analysis with AI
5/19/2025
Why “huge context” isn’t enough for text analysis—and simple ways to structure and filter your data so AI gives better, more reliable insights. Published on Convert.
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Getting insights from large volumes of unstructured data (Keynote at Bristol)
5/7/2025
My talk at Bristol Convert meetup...
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How to Use Examples to Get Precise and Consistent LLM Output
4/24/2025
Use one-shot and few-shot examples to steer attention, remove ambiguity, and get the format and tone you want. Published on Convert.
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Thinking with AI: Interaction Patterns (Part 2)
3/26/2025
Share how you work with AI by naming “beats” (Query, Validate, Think, etc.) and chaining them into patterns—for research, brainstorming, and critique. Published on Convert.
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Convert Article Series
3/19/2025
A series teaching product owners, developers, and experimentation leads to use AI sustainably—from human–AI fundamentals and local/small models (LM Studio) to n8n workflows, MCP, and building your own chat interfaces.
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Creativity and AI (Keynote at Experimentation Meetup London)
3/19/2025
My talk at the Experimentation Meetup in London...
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Thinking with AI: The Human-AI Partnership (Part 1)
2/20/2025
Frameworks so AI supports your work instead of taking over—scaffolding, milestones, three modes of collaboration, and the Kolb learning cycle. Published on Convert.
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AI Playbook for Research, CRO and Experimentation
1/1/2025
Free playbook from Convert—practical AI guides for research, discovery, hypotheses, and copywriting. Made by experimenters, with 60+ prompts and real-dataset testing.
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Product teams, problem statements, and AI workflows that work (Experimentation Elite - Winter 24)
12/11/2024
My talk at London's Experimentation Elite...
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No Hacks Podcast – Episode 144: AI Cookbook
5/21/2024
With Craig Sullivan on No Hacks—practical applications of generative AI for UX, CRO, and experimentation, and how to keep the human element at the forefront.
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Ressada
1/1/2020
Fast, accurate insights from user feedback. Uncover themes and opportunities in surveys and reviews and turn them into actionable insights.
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