Founder with an idea
You have a product direction but no technical operator yet. The first slice might be onboarding, checkout, booking, quoting, repeat orders, or a customer account path.
AI-native technical operator
Build With Me
Build one real thing properly with AI-native engineering discipline.
For founders, operators, agencies, and small teams who have one real product slice, workflow, prototype, or repair move that should become useful, reviewable, and maintainable.
The real problem
AI can generate code quickly. The harder part is turning it into software people can trust.
Fast code is useful only when the work still has scope, judgement, verification, maintainability, and a clear handoff.
That might be an AI chatbot, a retail workflow, a messy internal tool, a prototype that needs hardening, or a commercial process nobody wants to keep running by spreadsheet.
Speed needs shape
AI-assisted delivery still needs clear intent, acceptance criteria, engineering standards, and reviewable decisions.
Customer-facing AI needs care
Before AI touches customer experience, product data, marketing, support, operations, fulfilment, revenue, or brand trust, the work needs a reviewable path.
The first move should be small
Start with one order flow, one product-data check, one support workflow, one prototype hardening pass, or one bounded product change.
Who this is for
A softer first technical route for people with one real thing to build.
Operator with a workflow
You have a manual retail, eCommerce, support, fulfilment, invoice, settlement, or operations process that should become a small internal tool.
Messy AI-built prototype
You have vibe-coded momentum, an AI tool, an agentic workflow, or an internal app that now needs to become robust enough to review, maintain, and rely on.
Agency or studio
You need senior engineering judgement before an AI-assisted build touches customer experience, product data, marketing, support, operations, revenue, or brand trust.
Stalled or fragile build
You have a product surface, chatbot, order-status flow, catalogue search, stock-availability path, basket action, or commercial workflow that needs recovery or hardening.
Co-founder or fractional fit
You are exploring co-founder-style support, first technical hire energy, fractional CTO help, part-time leadership, contract support, or a bounded build partner.
Offer shape
This is technical operating support, not generic AI consultancy.
The engagement can look like a fractional technical lead, first technical operator, build partner, part-time or fractional CTO, bounded delivery lead, or co-founder-style technical support where that is the right relationship.
The useful common thread is not arbitrary development capacity. It is senior judgement around one real software slice, run through the same executable verification loop SDF uses for governed AI delivery.
Useful customer slice
Make a chatbot or assistant actually useful: order status, product catalogue search, stock availability, basket actions, repeat orders, or a handoff to a human.
Operational cross-check
Use governed AI delivery to cross-check invoices, settlement, fulfilment, order flows, product data, operational exceptions, or other commercial workflows.
Internal workflow tool
Turn a manual retail, eCommerce, support, or operations process into a small internal tool people can use without another spreadsheet workaround.
Prototype hardening
Review an AI tool, internal app, agentic workflow, or vibe-coded feature for maintainability, verification, handoff risk, and whether it is sensible to rely on commercially.
How the work runs
Small enough to review. Real enough to matter.
Bring one real thing
We start with the thing you are trying to build, the user or operator it serves, and the smallest useful outcome.
Bound the first slice
We agree scope, acceptance criteria, non-goals, risk boundaries, and what reviewable success should look like.
Run the loop
AI can help with speed, but the work is shaped by context capture, standards, evidence, executed checks, and human review.
Hand over the truth
You get working software plus a checked reviewer handoff: what changed, what was checked, what risks remain, and how the loop can run again.
What you get
Working software plus reviewable loop evidence.
SDF is the product underneath the work: clear intent, small changes, acceptance criteria, declared run context when available, receiver-owned evidence, executed checks, risk notes, limits, and reviewable handoff evidence.
Where this becomes a paid proof route, the proof is not just the PR or the working slice. It is the repeatable executable verification loop your team can inspect, adapt, and run again before human-controlled merge.
It does not replace human judgement, guarantee correctness, certify security, auto-approve work, auto-merge code, auto-deploy, repair code, publish PRs, capture dependable AI costs, enable hosted enforcement, or turn a first slice into an enterprise rollout.
A useful bounded slice
One working path, tool, check, prototype hardening pass, or bounded workflow change that moves the real situation forward without pretending to be arbitrary build capacity.
Executable verification loop
A clear record of context captured, evidence kept, checks executed, what passed, what was not checked, and why; not an automatic run log or cost ledger.
Checked reviewer handoff
Scope, risks, limits, and next-review notes stay visible before the work touches customers, product data, support, operations, fulfilment, revenue, or brand trust.
A reusable next move
Enough technical context to decide whether to continue, pause, hire, fund, simplify, or run the loop again through a formal SDF proof path.
Start small
Tell me what you're trying to build.
Bring one real thing. If there is a small useful first move, we can shape and verify it before deciding whether the relationship is fractional, co-founder-style, contract, part-time, or a bounded SDF proof route.
After you submit, I'll review what you've shared first, then follow up by email if there's a useful next step.