Independent work / Independent work
AgentixBrain: engineering and education
A public home for the company I founded, practical engineering guides and visual lessons about computing and AI.
- Technical writing
- Visual explanation
- Markdown
- Web publishing
Illustrative connections, not live system traffic.
Context
I founded AgentixBrain to bring together my work in software, AI integration, system modernisation and cloud platforms. Its public website also provides a place for technical education and practical engineering writing.
My role
As founder, I shape how this work is explained and presented. The public site separates the company’s services, practical guides and Academy content, so a visitor can choose the level of detail that is useful to them.
Structure
The services explain the kinds of engineering problems the company addresses. The guides examine decisions such as evaluating an AI pilot, connecting existing systems and preparing an application for launch.
Academy is the educational part of that ecosystem. Its first series, How We Made Stones Think, introduces the ideas connecting counting, computation and AI. The public Academy page links to the first episode; further episodes are planned rather than presented as already published.
Decisions and trade-offs
A service explanation and an educational lesson have different jobs. For a business reader, I need to explain responsibilities, choices and limits without hiding behind tool names. For a learner, I need to make a technical idea visible without simplifying away the part that matters.
Diagrams and worked examples help with both. Their value comes from whether a reader can follow the explanation, rather than how much visual detail can be added.
What is verified
The company website, practical guides, Academy page and YouTube channel are public. This case study does not claim customer results, an audience size or a completed educational catalogue.
What I am developing
My interest in technical storytelling sits alongside the engineering itself: explaining how a system works, why a design decision matters and what evidence would change that decision.