AI and Robotics Research for Builders
Technical breakdowns, market analysis, and practical guides — written for builders who want to understand AI deeply enough to build with it, not just talk about it.
Builder-Ready Research
Every piece is written for practitioners — the goal is understanding you can act on, not academic completeness.
How Large Language Models Actually Work: A Practical Guide for Builders
A plain-language explanation of the architecture behind GPT, Claude, and Gemini — what transformers do, why context windows matter, and what this means for the applications you build.
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AI Business Models That Actually Work in 2026
A practical breakdown of the AI business models generating real revenue — from vertical SaaS to AI agents, workflow automation, and content intelligence tools.
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The State of AI Infrastructure in Sub-Saharan Africa
An honest assessment of connectivity, compute access, data quality, and what builders on the continent need to know to build AI products that work in African contexts.
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Getting Started with Robotics in 2026: A Builder's Buying Guide
Which starter kit, which microcontroller, which programming environment. A no-nonsense guide to spending your first £200 on robotics hardware.
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What AI Employers Actually Want to See in 2026
We surveyed 40 companies hiring for AI roles. Here is what they said: why portfolios beat credentials, what technical skills matter, and how to position yourself for the market.
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Practical AI Ethics for Builders Who Are Not Researchers
Bias, fairness, and accountability — explained for practitioners. What to actually check when building AI products, without a PhD in ML.
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AI Fundamentals
LLMs, vision models, agents — explained for practitioners who build with them, not just those who study them.
Robotics and Hardware
Physical AI, control systems, perception, and practical robotics for builders working with hardware in 2026.
AI in Africa
Infrastructure, data, language, and the real challenges and opportunities of deploying AI in African contexts.
Business and Markets
AI business models, market analysis, and practical frameworks for building AI-powered businesses that generate revenue.
Career Pathways
What AI employers want, how to position yourself, and how to transition from where you are to where you want to be.
AI Safety and Ethics
Practical ethics for builders — bias, fairness, and accountability explained without a PhD requirement.
Contribute to the Research Hub
The Research Hub is written by and for the community. If you have expertise in a relevant area and want to contribute, we want to hear from you.