1:1 sessions until you are AI-native.
Core concepts, prompting, how models behave.
Most people fail with AI because they never build a correct mental model of how it behaves. They treat it like search, or magic, or a junior employee. All three are wrong.
You stop guessing. AI becomes a dependable tool rather than a novelty.
ChatGPT, Claude, Gemini, Perplexity. When to use what.
The problem is not lack of tools. The problem is using the wrong one for the job.
Fewer tools. Better results. Clear reasons for each choice.
Connect AI to your systems, automate at scale.
Automation is powerful, but premature automation is expensive. We focus on where APIs genuinely add leverage, and where they quietly add risk and maintenance.
Automation that actually saves time and scales safely.
Claude Code, Cursor, code generation.
Not about becoming a developer. About compressing build cycles and removing friction, with AI as a force multiplier rather than a replacement for judgement.
You build faster, with confidence, without handing control to the tool.
Local models, privacy-first, self-hosted.
Hosted AI is not always the right answer. Local options when data sensitivity, control or cost matter more than convenience.
You know when to stay hosted and when to go local, and why.
Thousands of items, batch operations, pipelines.
AI becomes a different problem at volume. Processing large amounts of work without runaway costs or fragile workflows.
High-volume work becomes routine, not stressful.
AI that acts on your behalf, multi-step workflows.
Agents are widely misunderstood and often misused. We strip the hype and focus on simple autonomous workflows that actually work.
Clear, practical autonomy without chaos.
Transcription, meeting notes, image and video.
Most communication work is repetitive and lossy. Capture, summarise and repurpose information without degrading quality.
Less manual admin. Better signal from conversations.
Embed AI into existing tools. Zapier, Make, custom.
The real value of AI comes when it disappears into your existing tools.
AI becomes part of the workflow, not another thing to manage.
New releases, what matters, what to ignore.
Keeping up with AI is now a job in itself. We focus only on what materially changes how you work.
You stay current without chasing everything.
The right model for the job, no waste.
AI misuse is expensive. Use the right model for the job, not the most powerful one.
Lower spend, better results, no surprises.
Your questions, your blockers, live.
Sessions driven by your actual problems, not predefined material. Live tasks, edge cases, reviewing outputs together.
Immediate progress on what matters most to you.
No packages. No contracts. Book one or ten, stop whenever. Most people do two a week for the first month, then one a fortnight.