Mild Frenzy Vol. 1

Short science-fiction, paranormal and straight-up weird stories that question our reality.

Nightingale Protocol

In the near future, each human possesses the Nightingale Protocol, an artificial intelligence application that activates when the host is ill...

Plant Life

A detective investigates a murder where the suspect is a plant she illegally owns.

Mr Jones's Smoking Bones

London, 1867. A troubled, drug-addled Indian man (Barzakh) is drawn into the world of secret societies and occult rituals as he investigates a murder committed by an apparent smoking skeleton.

Strange Skies

After a planeload of passengers get sucked through a wormhole into "strange skies", the fear of what lies beyond the confines of the cabin grips the passengers on board. Are there monsters outside?

XYZ

A socially awkward Asian teenager at an all-white school accidentally unleashes his inner demons after his attempt to escape reality goes wrong.

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

VWO AI Workshop (Workshop at Convex 2025)

5/6/2026

Virtual workshop teaching application of AI-based workflows

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...

Ethics, Experimentation, and Responsible AI

12/20/2025

Discussion on Responsible AI and ethics.

Getting started with OpenRouter

11/28/2025

Here's the easiest way to get started with using small models

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...

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Getting insights from large volumes of unstructured data (Keynote at Bristol)

5/7/2025

My talk at Bristol Convert meetup...

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.

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.

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.

Creativity and AI (Keynote at Experimentation Meetup London)

3/19/2025

My talk at the Experimentation Meetup in London...

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.

Tech Bro Tales – AI Bollocks

1/31/2025

When hype meets reality: a satirical take on the stuff people say about AI.

Tech Bro Tales – AI Talk Croc Attack

1/31/2025

What happens when AI talk gets a bite: a satirical comic about crocodiles and tech speak.

Tech Bro Tales - Mark Zuckerberg comic

1/31/2025

A satirical comic in which the social network's chief discovers that "move fast and break things" applies to democracy too.

Tech Bro Tales – Elon

1/31/2025

Rockets, tweets, and tunnel vision: a satirical comic about a certain billionaire.

Tech Bro Tales – Satya Nadella

1/31/2025

Empathy, cloud, and Clippy's revenge: a satirical comic about the man running Microsoft.

Stats 101 — A Visual Guide

1/22/2025

A visual guide to the stats you need for A/B tests—noise, standard deviation, z-scores, and p-values—so you can read results with confidence. Published on Convert.

No Hacks Podcast – Episode 162

1/15/2025

Guest appearance on No Hacks discussing product development, solopreneurship, and how AI is reshaping the game for small teams and individuals.

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.

GRO Roundtables – weekly event

1/1/2025

When and where the weekly GRO Roundtable runs. Every Friday—Europe and US-friendly times. Sign up to join.

GRO Talks Podcast

1/1/2025

Bite-sized podcast summarizing GRO Roundtable discussions on growth, research, and optimization. Co-hosted with Matt Beischel.

GRO Roundtable

1/1/2025

A weekly, casual conversation about experimentation—no sales pitch, no formal presentations, no recording. Open to all CRO and experimentation practitioners.

Product teams, problem statements, and AI workflows that work (Experimentation Elite - Winter 24)

12/11/2024

My talk at London's Experimentation Elite...

Uncovering Solution Bias with Iqbal Ali

9/6/2024

Podcast with Experiment Nation on solution bias—why we jump to solutions before we understand the problem, and how to use AI to explore the problem landscape and keep problem and solution connected.

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.

Sample Ratio Mismatch: So many questions. How to answer them?

4/20/2022

Using simulations to answer when to run SRM checks, false-positive risk, optimal traffic for accuracy, and whether continuous monitoring increases Type I error. Published in Towards Data Science.

The essential guide to Sample Ratio Mismatch for your A/B tests

7/22/2021

What SRM is, why it matters, and how to check it—with the Chi-squared test in Python and spreadsheets. Prioritise users over visits; check early and often. Published in Towards Data Science.

How to analyse A/B experiments using Bayesian Expected Loss

4/16/2021

A how-to for calculating Bayesian Expected Loss—the risk of choosing one variant over another—with Python, beta distributions, and rules for when to call a result. Published in Towards Data Science.

What comics can teach us about A/B experiment analysis

3/2/2021

Telling the story of risk, reward, and certainty using the principles of comic panel transitions—and how Expected Loss adds a clearer, more actionable view. Published in Towards Data Science.

Why your company should be experimenting

2/6/2021

The case for experimentation—shortcomings of intuition, user research, and pre/post analysis; what experiments and experiment programs actually deliver. Published in UX Collective.

When to stop A/B experiments early

11/30/2020

An early-warning process for stopping experiments when something’s wrong—traffic split, missing traffic, or health metrics. No stats required. Published in The Startup.

The benefits of structured A/B testing

9/27/2020

Why well-defined processes make experiments effective—illustrated with a drawing experiment (with vs without a process) and mapped to what makes experiments and programs work. Published in UX Collective.

How to determine what metrics you need for an A/B test

8/31/2020

A simple process to decide which metrics to build before launch—list outcomes, brainstorm reasons, then map to metrics. So every test can yield actionable learning. Published in UX Collective.

8 powerful levers for conversion rate optimisation

8/13/2020

Eight conversion levers to use in hypotheses and track across experiments—value proposition, clarity, friction, relevance, social proof, urgency/scarcity, authority, confidence. Published in UX Collective.

Lessons in scaling and “productising” an Optimisation Process or…an exercise in cloning

7/3/2020

How does one scale themselves to avoid becoming a bottleneck? I had this problem and experimented with a solution to resolve this. In this article, I describe the process along with details on how it went...

How to test big successfully

5/11/2020

A framework for bundling many changes into experiments without losing learning—hypotheses, justifications, secondary metrics, and when to bundle vs isolate. Published in UX Collective.

How to test big successfully

5/11/2020

Testing big is sometimes necessary. I've written a detailed guide about how to go about it successfully...

A/B Decisions

1/1/2020

Visualise A/B test results as risk and reward charts. Make decisions with greater clarity using data validity checks and trended results.

Ressada

1/1/2020

Fast, accurate insights from user feedback. Uncover themes and opportunities in surveys and reviews and turn them into actionable insights.

A visual guide to counting traffic into your A/B test

12/14/2018

Why “who we count” into an experiment matters—assignment vs counting, test criteria, and three examples from simple page-level to feature-level. Published on The Trainline Blog.