An AI-Native CompanyOperations Dashboard and Metrics

A company hires people, the people do the work, and the work produces goods and services. This one hires agents. What follows is the same account any company gives of itself — what it consumed, and what that produced: five marketplaces it builds, operates and governs.

But the harder thing being built here is a machine worth trusting, and trust is not something a page can assert. So this one is built to be checked instead. Figures that cannot be measured show a dash, never a zero. Two separate stamps say how old each half of the data is, because one would flatter the slower half. Three of the four DORA metrics are computed and withheld — we cannot yet measure them honestly. Costs derived from a judgement say so. And a whole section counts where the machine was stopped and made to ask a person. Nothing here is a claim you have to take on trust; that is the point.

The AI-Native Company — the paper behind this dashboard: the architecture these figures measure, and the verification standard that makes them worth checking.

Platform activity measured 2 min ago · codebase measured 31 min ago

Engineering

Built output from the repository: code, documentation and releases to production.

Lines of code
1,194,499
TOTAL90,974 in 30 days7,383 in 7 days
Lines of documentation
539,257
TOTAL16,805 in 30 days1,885 in 7 days
Commits
14,331
TOTAL1,735 in 30 days271 in 7 days
Production releases
498
+175 in 30 days+46 in 7 days
WOM contract-test streak
0
clean runs since the last failurelast run 2026-11-13
Migration safety streak
90
releases with zero destructive migrationssince the last one that had any
Destructive migrations halted
8
lifetime, at release timeproof the safety net has actually fired

DORA is limited to deployment frequency. Lead time, change failure and restore time are withheld until they can be measured from reliable release evidence.

Operations

Live tracker counts: work raised, closed and released through the operating system.

Tickets, all time
3,021
+2,893 in 12 months+88 in 7 days
Closed
2,225
+445 in 30 days+88 in 7 days
Open
796
+88 raised in 7 days−88 closed in 7 days
Deployment frequency
3.03/day
91 changes in 30 days46 releases in 7 days

Counts only. Ticket text, assignees and keys are not fetched for this public page.

Marketing

Agent-produced content and discovery signals, published with the current limits visible.

Articles published
690
+251 in 3 months+0 in 7 days
Published this month
0
0 in 7 days0 today
Agent runs
1,984
+580 in 3 months+0 in 7 days
Content reviewer agent runs
1,594
+552 in 3 months+0 in 7 days
Publishing cadence
hourly
configured cadencelast published 33d ago
AI chatbot mentions
0%
mentioned in 0 of 117 questions askedchecked weekly via Gemini only

Cadence is a setting, not proof of recent output. AI chatbot mentions are a weekly Gemini-only probe, not a cross-model search measure.

Revenue

Marketplace and commercial metrics are withheld from this public dashboard.

Marketplace users
—
withheld from public viewcommercial cohort private
Active users
—
withheld from public viewmarketplace activity private
Referral share
—
withheld from public viewcommercial cohort private
Onboarding completion
—
withheld from public viewcommercial cohort private
Listings
—
withheld from public viewmarketplace supply private
Booking funnel
—
withheld from public viewcommercial activity private
Payments
—
withheld from public viewpayment data private
Reviews
—
withheld from public viewreview data private

A dash means the metric is intentionally withheld from the public dashboard.

Financials

Measured API spend and modelled subscription allocation are shown separately.

AI public agent-run cost (metered API)
£5.06
workforce excluded£0.00 in 30 days
AI workforce agent-run cost (subscription)
£1,440
+£180 this month8 months · Claude Code Max 200
Per article published
0%
£0.63
modelled, not measured£36/month content shareflat over 8 days
Per 1,000 lines of code
+2%
£0.79
modelled, not measured£72/month engineering shareflat over 8 days

7.0M tokens in and 62k out over three months — the consumption behind the measured API cost. The workforce subscription card is modelled from the £180/month plan and rolls forward every calendar month from the first measured month. The unit costs are modelled from that same subscription over a 12-month accounting period: allocated 40% engineering, 30% operations, 20% marketing, 10% other, then divided by what was produced in the same period. The allocation is a judgement, so treat them as the right order of magnitude rather than an audited cost. Interactive sessions are not metered in this figure.

Content-reviewer is internal workforce work, so it is excluded from public metered API spend and included in the subscription workforce story.

Legal & Compliance

Controls that stopped, reviewed or required human approval for agent work.

Changes under change control
31
26 with a human authorisationfrom the tracker, not a document
Architecture decisions
13
recorded, not impliciteach one reversible on the record
Content judged by the gate
1,217
38 refused publication7 sent back for another round
Waiting on a human
1
37 reviewed by a person4 findings blocking a release

Only control counts are public. Finding details, reviewers and blocked content stay private.

Multi-vendor AI Workforce

One message bus across Claude, Codex and Gemini seats. Work can move between vendors without depending on one supplier. The design is explained in our thought-leadership series.

Agents on the roster
92
15 active in 7 days11 active in 24 hours
Messages sent
57,037
+14,213 in 7 days+1,774 in 24 hours
Requests
12,899
one seat asking another to act+2,847 in 7 days
Decisions
425
rulings recorded on the bus+47 in 7 days
Reply reliability
20%
requests getting exactly one replyover 2,847 requests in 7 days
Multi-vendor bus messages
8
Claude, Codex and Gemini seats, one shared buscrossing vendors in 7 days
Co-founder decisions
124
+0 in 7 dayslast decision 27d ago
Architecture Review Board
26
0 structured verdicts recordedlast decision 73d ago
Executive Steering Committee
2
0 structured verdicts recordedlast decision 73d ago

23 seats have sent messages across 106 distinct routes — the coordination is many-to-many, not one central queue. Awareness traffic adds 43,713 reports and 0 announcements. Counts only: no topic, sender, recipient or message body is published. Reply reliability requires exactly one reply.

What we’re building

This is what all of it was for. Every figure above — the code, the tickets, the articles, the money, the controls, the messages between agents — was consumed producing these. A human company would show goods and services here; this one shows marketplaces. And a marketplace is only worth building for the people in it: a student who finds a tutor they can trust, a tutor who fills their week, an agency that grows.

Five of them on one shared platform. Roughly 80% of what each needs — accounts, scheduling, payments, messaging, reviews, referrals — is platform code every vertical inherits; only the remaining fifth is specific to its market. That is why a new marketplace starts most of the way built, and why the counts below are high before a market has launched.

Tutorwise
Find your tutor. Grow your network.
16 of 20 platform capabilities live
tutorwise.io
Traderwise
Real-time trading simulation. Prove your edge.
14 of 20 platform capabilities live
traderwise.io
Trainerwise
Find your trainer. Hit your goals.
15 of 20 platform capabilities live
trainerwise.io
Beautywise
Find your beauty professional. Look your best.
12 of 20 platform capabilities live
beautywise.io
A different model
Adspots
Hyperlocal advertising. GPS-verified.
11 of 20 platform capabilities live
adspots.ai

The four above are services marketplaces — you engage a professional’s time. Adspots sells physical advertising surfaces instead, which is why it inherits the same platform but sits in its own column here.

These counts come from the application’s own vertical configuration — the same switches the running product reads — not from a slide. Deliberately absent is any figure describing how heavily a given market is used: that describes demand rather than what has been built, and is nobody else’s business.

The org chart

92 agents and not one of them a person. Each holds a role with its own brief, its own authority, and its own inbox on a shared message bus. This is read from the roster the running system uses, so it is the organisation as it actually is — including the parts that are unglamorous.

78 Claude8 Codex6 Gemini

Executive seats

CCO
safeguarding, GDPR/DPA, FCA/ASA compliance, and launch gate authority
Claude
CFO
runway model, unit economics, cost ceilings on every spending seat, and funnel analytics
Claude
CIO
Chief of Information; an AI-driven data + analytics + intelligence fractal-BOG cell; the org's sensing function + Chief-of-Staff.
Claude
CMO
Chief of Marketing & Growth; an AI-driven marketing-tech + ad-tech + growth-tech fractal-BOG cell
Claude
Co Founder
builds the AI-native company with the CEO; owns org design + the team; owns GTM + fundraising
Claude
COO
Chief of Operations; an AI-driven release-tech + QA-tech + operations-tech fractal-BOG cell; ship cadence, release process, and operational health.
Claude
CRO
Chief of Revenue; an AI-driven sales-tech + supply-tech + revenue-ops fractal-BOG cell
Claude
CTO
technology strategy, stack, engineering standards, security posture, and technical risk
Claude

The workforce

Engineering
32 agents
  • Codex
  • Codex Analyst
  • Codex Coordinator
  • Codex Developer
  • Codex DevOps Engineer
  • Codex QA
  • +26 more
Marketing
12 agents
  • Campaign Manager
  • CMO / Growth
  • Content AEO Optimizer
  • Content Coordinator
  • Digital-PR / Authority Agent
  • Content Reviewer
  • +6 more
Operations
9 agents
  • Billing Agent
  • Booking Agent
  • Change Manager
  • Help Desk Agent
  • Incident Manager
  • Observability Analyst
  • +3 more
Design
8 agents
  • Adspots Design Specialist
  • Beautywise Design Specialist
  • Component Systems Designer
  • Product Management Coordinator
  • Traderwise Design Specialist
  • Trainerwise Design Specialist
  • +2 more
Strategy
7 agents
  • CCO (Trust & Safety / Compliance)
  • CFO
  • CIO
  • Co-founder
  • COO
  • CTO
  • +1 more
Analytics
6 agents
  • Attribution Analyst
  • Data Quality Auditor
  • Analyst Agent
  • Growth Analyst
  • Retention Monitor
  • Scorecard Analyst
Sales
5 agents
  • Account Manager
  • Outreach Specialist
  • Revenue Analyst
  • Revenue Operations Manager
  • Supply Success Manager
Finance
4 agents
  • Cost Analyst
  • Finance Coordinator
  • Financial Modeller
  • Fundraising Analyst
Legal
3 agents
  • Contract Reviewer
  • IP Specialist
  • Regulatory Researcher
People
3 agents
  • Org Designer
  • Performance Analyst
  • Recruiter
Security
3 agents
  • Dependency Auditor
  • Privacy Analyst
  • Security Auditor

A seat is a role, not a chatbot: it holds authority in its area, escalates what is above it, and is accountable for what it ships. The structure is deliberately ordinary — an executive tier and functional groups — because the unusual part is not the shape, it is who is filling it.

These numbers include bad days. A dashboard that only ever shows healthy figures is a brochure; the useful version is the one you can catch having a slow week.