Jira in
RUN 0726
Idea to deployed product
- owner
- AI engineering team
- elapsed
- 2h 36m
- risk
- bounded
Governed AI engineering teams
The bottleneck isn’t code. It’s accountability.
tOOrunt AI is the engineering organization around the model, with one bot per teammate, fourteen hard gates, three human decisions, and every action on the record.
14 gates3 decisions0 direct to main
accountability field14 / 14gates in force
verification chain14/14
- 01Right repositorypass
- 02Requirements understoodpass
- 03Dependencies built firstpass
- 04Plan approvedsigned
- 05Novelty calibrationpass
- 06Rework until shippablepass
- 07Tests greenpass
- 08Code qualitypass
- 09Every change is testedpass
- 10No secrets in the codepass
- 11Risk & confidencepass
- 12Independent reviewsigned
- 13Mergedsigned
- 14Watched after mergepass
Merged PR out
VERIFIED
- human decisions
- 3
- gates skipped
- 0
- audit records
- sealed
hash chain / intact
Autonomy inside a boundary. Evidence at every step.
01The gap
The code is already written by AI. Nobody owns accountability for it.
Adoption and impact are moving in opposite directions. The missing layer is not another model. it is the system that can prove who decided, who reviewed, and why the work shipped.
of Google’s new code is AI generated
Google · Q3 2025 earnings callof enterprise GenAI pilots deliver no measurable P&L impact
MIT NANDA · 2025AI accelerated the writing.Accountability became the bottleneck.
02The product
Not another brain. An accountable team.
The Jira board. The reviewers. The QA gates. The on call rotation. The audit trail. The accountability structure a real engineering team runs on.
04 surfaces · one accountable recordEvery action has an owner.
One bot per teammate
Per bot Jira and GitHub identities, with least privilege tokens scoping each bot to its repos. A peer bot with its own GitHub identity reviews the change in a real, adversarial pass, so review is bot to bot and it gates the merge.
- identity
- jira + github, per bot
- token scope
- least privilege
- review
- bot to bot, gates merge
app.toorunt.ai/team
It never writes code before you approve the plan.
Every decision in one place
The bot posts an implementation plan to Jira: files, approach, risks, and acceptance criteria, then stops at the first human gate. Plans, PRs, infra and keys all queue in one inbox, so the three decisions that are actually yours are never buried in a feed.
- gate 04
- plan approved
- gate 12
- review signed
- gate 13
- merge unlocked
app.toorunt.ai/plan
The log is either intact or provably altered.
Every action, hash chained
Each record commits to the one before it. Change any past decision and every subsequent hash breaks. Incident forensics and SOC 2 evidence are the same artifact, optionally HMAC signed and exportable.
- chain
- hash linked records
- signing
- hmac, optional
- export
- soc 2 evidence
app.toorunt.ai/record
Who to contact is deterministic.
A team that routes itself
Bots claim tickets atomically, hold file claim locks so two never touch the same surface, park when blocked, and hand off on failover. Escalation follows CODEOWNERS, git blame, Jira roles and on call. It is a bounded ladder that always terminates.
- ticket claims
- atomic, exactly once
- file locks
- declared up front
- escalation
- bounded ladder
app.toorunt.ai/building
03The chain
Fourteen gates. No path around them.
Every change clears all fourteen before it can merge. Gate verdicts are deterministic code, not a conversation. A jailbreak can’t talk its way past one.
11 automatic3 human0 skippable
- 01
Right repository
resolves the target repo from the ticket, using a curated registry or semantic match
automatic - 02
Requirements understood
no material ambiguity. Clarifies with a human before building and never guesses
automatic - 03
Dependencies built first
nothing this change depends on is missing; parks and resumes if it is
automatic - 04
Plan approved
the plan is posted to Jira and waits. It never writes code before a human sees it
signature - 05
Novelty calibration
routine work ships; unfamiliar territory forces extra deliberation and a human merge
automatic - 06
Rework until shippable
when a gate pushes back, it improves the change and runs again. It does not give up
automatic - 07
Tests green
the change's own suite passes; for a bug, a red to green reproduction proves the fix
automatic - 08
Code quality
0 findings: no leaks, deadlocks, bug patterns, or injections
automatic - 09
Every change is tested
each changed file has covering tests; missing ones are written before the PR
automatic - 10
No secrets in the code
scanned for live credential values and secret patterns: clean
automatic - 11
Risk & confidence
scores risk and confidence; anything past the cap escalates to a human
automatic - 12
Independent review
a second agent reviews a 7 point checklist; a human reviewer signs the PR
signature - 13
Merged
merges only on verified green tests, CI, no conflicts, and review approval
signature - 14
Watched after merge
watches CI and production after merge; raises a revert alert if it regresses
automatic
04Your seat
Autonomy runs between signatures.
Three decisions. All yours, only yours.
Three of the fourteen need a signature. Everything between them runs autonomous, on the record. You choose how much rope as the track record builds.
gate 04 · signature required
Sign the PRD
The plan waits in Jira until you reply /approve or /reject with a reason it has to answer. In auto with veto mode this becomes a timed window: it proceeds unless you object.
05The ledger
Same ticket. Three eras of cost.
Compare the whole unit of shipped, reviewed work, not the price of a typing assistant.
Manual SDLC
4 to 6 people
1 to 2 weeks
$500 to 1,000+ AI copilots
4 to 6 · faster typing
~1 week
$400 to 800tOOrunt AI
0 to 1 · approvals only
Hours · 2h 36m
$20 to 15006The field
Everyone sells an agent. Nobody sells an accountable team.
Copilots
Suggestions in your editor
Session assistants
One person's session
Autonomous agents
One task to one PR
tOOrunt AI
An accountable team
Copilots
The developer's own
Session assistants
The user's own
Autonomous agents
One shared org agent
tOOrunt AI
Per bot Jira + GitHub identities
Copilots
You review your own output
Session assistants
None
Autonomous agents
Your humans review it
tOOrunt AI
Bot to bot adversarial, gates the merge
Copilots
IDE / org settings
Session assistants
Folder / tool permissions
Autonomous agents
SSO + VPC + logs
tOOrunt AI
14 gates · hash chained audit · vault · kill switch
Copilots
Per seat subscription
Session assistants
Subscription
Autonomous agents
Usage ACUs, open ended
tOOrunt AI
3 LLM layers · capped · $20 to 150 per PR
Integrations
Plugged into your whole stack.
The team starts in Jira, GitHub and Slack, and ships through the clouds, clusters and monitors you already run.
Receipts
Every claim on this page has a source.
We sell an audit trail. It would be a strange product to market with numbers you can’t check. Here they are, with where each one comes from.
2h 36m
Idea to deployed product, in one live evening.
Founding run · July 2026
It refused a reviewer who asked it to hardcode an API key.
The secret scan gate does not negotiate, and this happened live, not in a test.
Security · control 01
14
Gates cleared per change. No exceptions, no skip path.
lib/gates.ts · the verification chain
A seed script containing DROP TABLE was held for human sign off.
Deep verify blocks irreversible migrations before they ship.
Security · database safe fail
~76%
True resolution on SWE Bench Lite, the defensible half nobody else gates on.
Proven fixes · red to green required
$20 to 150
Compute per merged PR, metered on an append only ledger you can read.
Pricing · unit economics
Change one past decision and every hash after it breaks.
The log is either intact or provably altered. Incident forensics and SOC 2 evidence are the same artifact.
Security · tamper evident audit
3
Decisions that are yours: sign the PRD, approve the PR, unlock the merge.
Product · human decisions
75%
Of Google's new code is AI generated and still approved by engineers.
Google · Q3 2025 earnings call
95%
Of enterprise GenAI pilots deliver no measurable P&L impact.
MIT NANDA · 2025
Worst case is a rejected pull request.
No direct to main, ever. Per bot least privilege tokens, branch protection, and a kill switch.
Security · blast radius
10 to 20×
Cycle time compression against a manual SDLC. Weeks become hours.
Home · three eras of cost
It answers review like an engineer, not a bot.
Fix it, disagree with a reason, ask when intent is unclear, or refuse when it's unsafe.
Product · the review loop
~90%
Lower cost per unit of shipped, reviewed work.
vs. $500 to 1000 loaded engineer cost per PR