Executive Briefing · Wasteology Engineering
Agentic Developer Workflow
Building software with AI, under human control.
Wasteology
The idea in one line
AI agents do the building. People approve every change.
- Local-first. It runs on flat, unmetered developer subscriptions before any metered cloud spend.
- Human-gated. Every change ships as a draft pull request that a person reviews and merges.
Why it matters
More built per engineer, without losing control
We get more output from the same team, without giving up control of quality, cost, or security.
And it compounds. Every project that adopts it makes the next one faster, because the company's knowledge is shared.
The process
The ADW loop
A task becomes working software through the same repeatable steps every time. It runs on demand or overnight.
Control
What keeps it safe
Independent checkA separate maker-checker verifies the work against the spec.
Evidence gateNothing is called "done" without proof it actually works.
Human mergeA person merges every change. Agents draft; people sign off.
Every run is traced end to end, so there is a full audit trail of what each agent did.
Maker-checker review
Evidence gate
Ontology guardrail
Human merge on prod
Who decides what gets built
Work enters one queue
Tasks come from two places: an estate watcher that proposes work, or a person who adds one.
Nothing builds unless it enters that queue, so the team stays in charge of what gets worked on.
Why the output is trustworthy
Grounded in company knowledge
Agents read each project's own documented intent, plus a company-wide knowledge atlas, and build to the spec instead of guessing.
A broken or missing reference cannot pass the gate, so the documentation stays honest.
The next step for us
One terminal, many projects
A single hub oversees many projects at once. One place to watch every queue and every pull request, and to dispatch work to the right repository.
Cost is a choice
Local-first by default
Day-to-day work runs on flat, unmetered subscriptions. The metered cloud path is opt-in, only for unattended work.
Even then, the throwaway steps use a cheap model, and spend is tracked from day one.
~98%
less cost on the routine commit-message step by using a cheaper model for it
The plan
From one engineer to a software factory
Three earned stages, gated by readiness, not by dates. Each stage is proven before the next begins.
1 · Learn and pilotOne team learns the loop and proves it on real work.
2 · Orchestrate and fan outOne hub runs many projects at once, across teams.
3 · Atlas and software factoryShared company knowledge makes every new project faster than the last.
Full plan and visual timeline live in the Academy roadmap.
Today
The foundation is already built
- The Academy that teaches this workflow.
- The standards and CI gates that enforce it.
- The knowledge atlas that grounds it.
- This reference orchestration hub, proving "many projects, one terminal."
Not a new bet
It's already on your roadmap
The Program Roadmap board tracks all 45 initiatives in this year's plan. This platform is already the delivery engine behind it.
27 of 45already building or deployed on this platform today.
8 initiativesalready have a named IT lead tagged – for example TJ, on the warehouse and semantic layer.
Every changeon the board is tracked the same way this briefing describes: drafted, reviewed, human-approved.
This is not a separate initiative to fund. It is how the roadmap already approved gets built.
The ask
Two decisions
- Which teams pilot first?
- At what pace?
We prove each rung before climbing to the next. Everything else is ready.
Local-first · Human-gated · Grounded · Auditable
Wasteology