Slide 0 β the hero
I built a software factory and an agentic automation product at the same time.
One developer. One $100/month plan. 108 days. I did not write the code.
Slide 0a β who I am
I have spent six years selling and supporting the tools that test the web.
Cypress Β· Replay.io Β· Checkly Β· now Resolve AI. Solutions engineering, then Head of Solutions for North America.
- I did not come to agents from research. I came from six years of watching deterministic tests fail in production.
- Built InterIntel in 2023 β one of the first agentic coding tools.
- Before all of it: founder, UX consultant, therapist, chef.
Every line on every slide in this deck is editable β click it and type.
Slide 0b β what Janus is
You don’t write tests. You write guides.
You donβt write tests. You write guides. A guide is a deterministic script that carries enough intent that when a step breaks, an agent takes the wheel, drives from the failed step, and either finishes the job or returns a real failure.
A Chrome extension and a CLI over one substrate. Three verbs.
Automation for the AI SDLC. — PROJECT-GUIDANCE.md
That is the last time this talk explains the product. Everything after it is evidence about the factory that built it.
Slide 0c — the surface area
One product. Three hosts, six processes, three languages, four test runners — one person.
Hosts
- Chrome extension
- Chromium via CDP
- Docker image
Processes
- Extension worker
- Offscreen document
- Go daemon
- CLI · 17 commands
- MCP · 8 tools
- Node controller
AI at runtime
- 23 live-DOM tools
- Provider agnostic
- Shadow-piercing
- Mid-script handoff
- A model judges it
artifact review
- .janus.zip trace
- LLM as a judge of the trace
- Network capture
- Trace viewer UI
- Two writers
Every line above is a seam two agents can disagree across, and not one of them fails loudly.
Slide 1 β the timeline (hero image)
Throughput went up. The machinery required to keep it honest went up faster.
14 enforcement mechanisms, all built between Aug 2 and Aug 22. None in the first twelve weeks.
Slide 2 β five days
Every capability adds a failure. Every failure adds machinery. The overhead never comes back down.
08-01
Workstreams shipped β issues.json, 9 parallel tracks, a nested planning repo.
08-06
Agents kept drifting into the nested repo with no source in it. scripts/tracker β 10 lines of fix β stopped it.
"It is documented in agent memory β¦ and being documented did not stop it." β scripts/tracker, line 25
Slide 4 β the inventory
The harness is small. It is also 84% bookkeeping.
More test code than product code. And the part that actually dispatches, verifies and lands work is the thin slice.
src/54,100Inside that 7,304
Slide 5 β the leak
90% of dispatches got a record. 209 changelog fragments got written. None were ever published.
A dispatch hands one issue to a subagent working in its own git worktree. A brief goes in; a handoff record β what it changed, what it verified β comes out. The worktree is then deleted, so the record is the only thing that survives.
A commit-msg hook blocks any commit naming a dispatched issue until its handoff exists. Writing a fragment is gated too — 209 written. Collating them into the changelog is gated by nothing — 0 published.
Slide 6 β what agents actually read
They had the rule in context. It governed them 7% of the time.
96%
Rule pasted into the brief.
74 of 77 complied.
7%
Rule only in CLAUDE.md.
11 of 148 complied.
Same rule. Same repo. Same agents. Loaded both times β subagents receive every level
of the CLAUDE.md hierarchy; only the built-in Explore and Plan agents skip it.
The only variable was how close the rule sat to the prompt.
Your CLAUDE.md is not configuration. It is a suggestion with roughly 1-in-14 odds. The brief is the instrument that works.
Slide 3 β the six
Always attribute your guidance and rules
Never take an agent's report of its work as evidence
Never let an agent casually add a word to your lexicon
Subagent context must be intentional
The cost of order never comes down
Rules aren’t meant to be broken. Enforce them.
Slide 7 β what I actually chose
None of this was falling behind. It was a decision I made on purpose.
Work I would never fully own. Not fix — own.
- 183changelog entries for landed commits that never reached the record
- 19tasks dispatched twice β first result lost or wrong
- 4,167judgment calls across 528 documents, all mine
- 17 · 13 · 70PRDs, build reports, planning docs β one author, one reviewer
- 252issues closed, filed and reviewed by whoever was awake
- 3manual QA sessions left on disk. I deleted the rest.
A team pushes this to other people. Specialists, reviewers, a QA function, someone who owns the changelog. I had me.
Slide 8 β the close
An agent takes you as far as you can judge.
Not as far as it can write.
Vygotsky's zone of proximal development is the gap between what you can do alone and what you can do with help from someone who knows more than you. The scaffolding comes from above.
There is nobody above you here. An agent does not know more than you. It knows differently, and faster, and it cannot exceed your ability to check its work.
I was the only reviewer in the system, and the only component with no gate in front of it.
Slide 9 β the timeline, again
The line never comes back down.
One developer. One $100/month plan. 108 days. I did not write the code.
Slide 10 — Q&A
Questions.
Everything in this deck is a number out of one repo, and every one of them is in the talk notes if you want to argue with it.
jonathan canales · linkedin.com/in/modern-sapien