Rewire how yourteam ships.
Hands-on sessions for founders and product teams who want AI to change how they ship — not just how fast they type. We work on your codebase: tooling, agents, review loop and the metrics to prove it worked.
Most teams bolt AI onto the old process and get a faster typewriter. The leverage is in changing the process: who writes intent, what agents do unattended, how review works, and what you measure.
I did this with a lean team at TEX for Schools. Feature delivery went from one or two weeks to two or three days, and bugs from new releases fell by more than half. These sessions pass on the playbook — adapted to your stack, your team and your constraints.
Built for lean teams with big roadmaps.
Startup founders
Who want AI in the development workflow to move faster and gain an edge — without hiring ahead of revenue.
Product managers
Who want to get hands-on with AI dev workflows and lead their team's move to AI-first delivery.
Development teams
Who want a second opinion on AI implementation strategy, tooling and guardrails from someone who's run it in production.
What you leave with.
- Hands-on setup of your AI IDE and coding agents — Cursor and its alternatives
- Project rules, context files and conventions your agents actually follow
- AI agents for code review, tests and scaffolding
- Tool selection and integration strategy for your stack
- Best practices for AI-first product development workflows
- Benchmark metrics for AI-assisted delivery
- A follow-up action plan and roadmap to stay on track
Priced on outcomes, not hours.
Fixed scope, fixed price, a defined result. All prices in AUD, excluding GST.
Workflow Teardown
Find your real stage on the Agentic Development Ladder, checked against your repo.
A$1,800
A written diagnosis and a 30-day plan your team can run without me.
- Half-day working session with your leads
- The ladder self-assessment, run against your repo with evidence
- AI tooling and agent recommendations for your stack
- Written report: your next stage’s checklist, in order, as a 30-day plan
AI-First Sprint
Put in the first steps of your next stage, embedded with your engineers on real work.
A$7,500
A team shipping on an AI-first workflow, with before-and-after metrics to prove it.
- Everything in the Teardown
- The first steps of your next stage, built in your repo; for most teams, the checks that make merges safe
- AI pre-review, test and scaffolding pipeline
- Hands-on training for the whole team
- Baseline and post-sprint delivery metrics
Fractional AI Product Lead
Senior product and AI leadership, without a full-time executive hire.
fromA$6,000
Someone accountable for keeping your team at the front of AI-first delivery.
- Roadmap, architecture and AI strategy reviews
- Ongoing agent, rules and playbook tuning
- Team coaching on AI-first delivery
- Monthly review of the ladder’s scoreboard as you move up a stage
Say your five engineers cost A$750k a year. A 20% gain in delivery throughput is worth A$150k a year — every year. The Sprint costs A$7,500 + GST.Illustrative figures — we agree your own baseline in the first session.
I take these on alongside my role as CPO at TEX, so I work with a small number of teams at a time.
Receipts, not adjectives.
Driving workflow transformation through AI-first development at TEX for Schools
Faster feature delivery, same-day code reviews and more than 50% fewer release bugs — by rebuilding the development workflow around agentic IDEs and background agents.
| Metric | Before | After |
|---|---|---|
| Feature delivery time | 1-2 weeks per feature | 2-3 days per feature |
| Code review turnaround | 1-2 days | Same day (via AI pre-review) |
| Bugs from new feature releases | Moderate (20% of releases) | Reduced by >50% |
| Team dependency on senior dev | High | Significantly lower |
| Onboarding time for new devs | ~2 weeks | <5 days |