Understand it
Plain-English explanations that remove the jargon without hiding the important details.
The humans behind AI Did This
AI Should Feel Useful, Not Intimidating
AI Did This helps everyday people and small businesses understand AI, use it responsibly and turn curiosity into something practical.
Why we exist
Why AI Did This Exists
What started as a personal prompt collection slowly became something bigger. Hafsa was saving ideas, testing tools and building small experiments. The more she shared, the more often people said the same thing: "I want to understand AI, but I do not know where to start."
AI Did This grew from that gap. It is a place for prompts, tools, training and honest explanations that help people try AI without feeling talked down to.
We are UK-based and building for parents, small-business owners, community groups, teams and anyone who feels AI is moving faster than they can keep up with.
What we focus on
From Understanding AI to Using It Well
The aim is not to turn everyone into a technical expert. It is to help people understand enough to make sensible, confident decisions.
Use it
Prompts, tools, guides and training built around tasks people genuinely need to complete.
Use it responsibly
Practical guidance on privacy, hallucinations, fact-checking and when human judgement must come first.
Meet the team
Two People, One Practical Mission
One side builds the platform. The other helps people use what it teaches. Both sides keep the work grounded in real questions and real needs.
Hafsa Awan
Co-founder · Product, Development and AI
Hafsa is a full-stack developer who likes turning ideas into things people can actually use. AI Did This began as somewhere to organise what she was learning, testing and building. It grew because she kept seeing the same problem: useful technology was often explained in ways that made people feel shut out. She builds the platform, experiments with AI tools and keeps looking for clearer, safer and more practical ways to use them.
Curious by defaultAlways buildingUsually too many tabs open
Shariq Shabbir
Co-founder · Strategy, Training and Delivery
Shariq focuses on the people using the technology. He shapes the training, builds relationships and turns technical ideas into sessions that make sense in a real room. His aim is simple: people should leave knowing what to try next, not just what AI means.
Practical deliveryClear explanationsPeople first
What we believe
The Principles Behind the Work
These are not statements written for a wall. They shape what we build, how we teach and what we choose not to promise.
01
AI is a tool, not a threat
Understanding what AI does, where it helps and where it fails makes it easier to use with confidence.
02
Honest beats hype
We explain the limits alongside the possibilities. No inflated promises and no pretending AI is always right.
03
Useful knowledge should be accessible
AI education should not be restricted to technical teams or organisations with large budgets.
04
Real learning needs real people
Questions, practice and human judgement matter more than perfect slides or impressive terminology.
Come as you are
You Do Not Need the Perfect Question
Start with something useful, stay curious and check what the AI gives you. Technical experience can come later.
Human-built. AI-assisted. Curiosity still required.