Fifteen years securing companies.
Now teaching people to build careers AI makes stronger.
I started at seventeen on a call centre floor and worked up through every rung: millions of customer conversations for some of the world's largest brands, self-taught design, video and web work, a profitable e-commerce brand, and now human cyber risk for national critical infrastructure. Nobody groomed me; everything I learned, I learned alone. Today it all becomes free tools for your career: fresh jobs caught early, live internships and hackathons, the best new AI, and a Saturday email worth opening.
Tools to move your
career forward.
The useful part, not the pitch. Live roles caught early, first internships, hackathons with real prizes, the best new AI, and prompts I actually use. All free, most of it refreshed daily.
Six shelves.
Fifteen years behind them.
Career Engine
Getting hired, getting ahead, and what actually gets read by the people deciding.
02Agentic Classroom
Prompting, agents and the workflows you can hand over this week. Plain language, real examples.
03The AI Wire
What changed in AI this week and what it means for your work, out of press-release language.
04Human Risk
Fifteen years on the human side of cybersecurity: why smart people click, and what actually changes behaviour.
05Go To Market
Customer success, business development and marketing that works across very different regions.
06Notes from the Build
Building and running companies: the decisions, the mistakes and what they cost.
Three ventures.
All of them running.
Quarry
Agentic AI demand engine
Outbound and AI visibility run as one loop. It finds who is actually in market, opens with a researched first touch that I approve before it sends, and shapes how you show up when that buyer asks an AI about you. A crew of specialist agents, not one model pretending. Precision over spray.
MaaSify™
Man-as-a-Service. The marketplace.
Human expertise bought the way you buy cloud capacity. It connects organisations with verified professionals, teams and specialised services on demand, and it sits on top of HuMatrix™.
Read about MaaSify
HuMatrix™
The capability layer underneath
The intelligence and orchestration layer that maps, validates and manages human capability. It turns skills, experience, certifications, availability, performance and trust into structured profiles that AI and businesses can actually read.
Read about HuMatrixLong enough to be useful.
Short enough to finish.
Just published
What OpenAI’s New Data Agent Means For Your Analyst Job
What OpenAI’s New Data Agent Means For Your Analyst Job
OpenAI's new Data agent turns plain English into working dashboards inside ChatGPT Work, arriving the same week nearly half of 2026's layoffs name AI as a factor, and GPT-6 Astra raises the reasoning bar again.
Read it
How to Make AI Draft Your Weekly Status Report
Friday status reports steal an hour you don't have.
Which AI Tool You Actually Need For Each Job
A plain breakdown of when to use a chat assistant, a coding tool, a search tool, or an agent builder, and which of those four free tiers survives daily use in 2026.
How to Make AI Check an Email for Scams
That urgent payment change email might be a scam.
This Week’s AI News Raises The Bar For Security Jobs
GPT-6 Astra claims it can find and fix software flaws on its own, hundreds of AI agents just breached 395 organizations, and AI-generated resumes are flooding recruiters, all in one week.
How To Make AI Alert You On One Number
Stop checking the same number five times a day.
Turn Any Job Description Into A Personal AI Mock Interview
Paste the job posting and your resume into an AI chat, ask it to interview you role by role, then have it grade each answer against the listed requirements before the actual interview happens.
I have done the job
before I taught it.
I spent fifteen years in cybersecurity working on the part no tool fixes: people. Along the way I ran customer success, business development and marketing across markets as different as India, the Gulf and the UK.
Now I run companies where AI agents do a real share of that work: research, writing, design and outreach, running while the team sleeps. Everything here comes from that. Not predictions. What happened when I tried it, what broke, and what I would do differently.
The daily thinking
lives on the feeds.
Long form here. The working notes, the arguments and the things that did not fit go out most days.
One email.
Every Saturday morning.
What changed in AI this week, what it means for your career, and one thing worth trying before Monday. No noise, no pitching.
No spam. Unsubscribe any time.