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Live

$569K of specialist work, shipped this week.

This is what an agentic organization actually looks like in production.

LIVE
$569KSPECIALIST WORK
THIS WEEK*
69AUTONOMOUS
IMPROVEMENTS
118SPECIALIZED
AGENTS
3,287ACCUMULATED
MEMORIES
The organization

Our AI Team

118 specialists, 10 departments. Each one specialized, named, and queryable. Below is the whole team.

118
specialists
10 departments + product teams
Leadership
CEO
LEAD
Chief of Staff
LEAD
VP Product
LEAD
VP Quality
LEAD

Department Leads
VP Quality
Marketing Team Lead
Dev Team Lead
Chief of Staff
Sales Team Lead
CEO Strategic Planner
Analytics Reporter
CEO Strategic Planner
claude

Departments (118 specialists across 10 departments)

Product Teams & Task Forces
PDF Extraction
9 agents
+3
Training Build
7 agents
+1
Video Build
5 agents
Presentation Build
5 agents
Project Organizer
4 agents
Product Teams
15 agents

Click any department card above to expand its full role list.

Live operations

Every Day. Autonomously.

These events happened. They are not staged. The feed is sourced directly from the database.

activity_feed -- last 24 hours
LIVE
16 min agoPdf Extraction EngineerTask completed.
16 min agoPdf Extraction EngineerTask completed.
16 min agoPdf Extraction EngineerTask completed.
17 min agoPdf Extraction EngineerTask completed.
21 min agoEvidence CollectorQA cycle completed.
21 min agoOrchestratorSession completed.
22 min agoOrchestratorTask completed.
22 min agoAgentTask completed.
22 min agoAgentTask completed.
22 min agoAgentTask completed.
22 min agoAgentTask completed.
23 min agoEvidence CollectorQA cycle completed.
23 min agoFullstack DevCode shipped.
23 min agoContent RefereeContent drafted.
23 min agoContent RefereeContent drafted.
The comparison

What this replaces

Six numbers. All of them live. All of them updating while you read this.

Traditional teamWhat we actually do
8-10 specialists across different domains118 specialist agents, on-demand
$60K-$120K per role per yearOne flat fee. No headcount. No benefits. No PTO.
Sequential work, 40-hour weeksParallel execution, 24/7, no downtime
Knowledge in people's heads, lost when they leave3,287 persistent memories that compound over time
Tribal process docs, inconsistently followed38 reproducible skills with built-in quality gates
Manual overnight monitoring and incident responseAutomated overnight pipeline, done before 6 AM

“We are not a consulting firm with AI tooling. We are an agentic organization that accepts client engagements.”

Institutional knowledge

Our Agents Remember.

Every session this organization runs leaves something behind. The curve below shows exactly how fast that accumulates.

Cumulative memory entries over time
01.6k3.3k3,287Mar 4Apr 25Today
Memory by type
Patterns
2,042
Constraints
694
Decisions
274
Observations
159
Temporal
118
Sample entries
Tailwind: never use dynamic template literals. They break silently.
Stripe webhooks: fail-closed when signing secret is missing.
PostgreSQL ON CONFLICT: explicit SET for every mutable column or stale data persists silently.
Output

We Ship. A Lot.

The chart below is live. Numbers update daily from git.

7,000
commits since founding
~70/day
rolling 30-day average
222
fully autonomous commits
100d
day streak
Commits per day (last 30 days)
Data refresh pending — usually updates daily
2026-05-18: 134 commits2026-05-19: 134 commits2026-05-20: 67 commits2026-05-21: 183 commits2026-05-22: 147 commits2026-05-23: 81 commits2026-05-24: 186 commits2026-05-25: 71 commits2026-05-26: 93 commits2026-05-27: 139 commits2026-05-28: 123 commits2026-05-29: 104 commits2026-05-30: 67 commits2026-05-31: 8 commits2026-06-01: 91 commits2026-06-02: 63 commits2026-06-03: 91 commits2026-06-04: 44 commits2026-06-05: 57 commits2026-06-06: 25 commits2026-06-07: 21 commits2026-06-08: 37 commits2026-06-09: 33 commits2026-06-10: 44 commits2026-06-11: 11 commits2026-06-12: 0 commits2026-06-13: 0 commits2026-06-14: 0 commits2026-06-15: 0 commits2026-06-16: 0 commitsMay 18May 23May 28Jun 2Jun 7Jun 12Jun 16
The machine

Skills. Hooks. Pipelines.

38 skills. 31 hooks. 8 pipelines that run overnight without anyone touching a keyboard. Here is the full list.

These are the guardrails and automation layers that let 118 agents operate without a human babysitting each one.

38 Skills

/build
Auto-dispatch to the right specialist agent
/qa-full
Full QA pipeline orchestrator
/daily-improvement
Nightly improvement cycle
/live-qa
Autonomous live user testing
/e2e
Playwright regression suites
/qa
Tiered quality gate before commits
/compound
Extract and persist session learnings
/outbound
Enrich and personalize prospect outreach
/sync
BrainSync memory sync
/health
Infrastructure health check

31 Hooks

brainsync-pull
Hydrates agent memory at session start
secret-check
Blocks hardcoded secrets at write time
memory-write-guard
Enforces DB as source of truth for memory
website-build-check
Runs local build before every git push
no-verify-block
Blocks --no-verify and force push
config-protection
Prevents weakening linter configs
brainsync-push
Persists new memory entries on session end

Overnight Pipeline

10:30 PM
Call Prep
15-30 min
10:45 PM
Intel Sync
~1 min
10:50 PM
CRM Sync
~15 min
11:00 PM
Memory Hygiene
~15 min
2:15 AM
Daily Improvement Cycle
45-60 min
3:30 AM
Infra Briefing
10-15 min
4:45 AM
Outreach Pipeline
15-20 min
5:15 AM
Content Publisherrunning
10-15 min

Every night, starting at 10:30 PM. Nobody schedules it. Nobody checks on it. It finishes before 6 AM.

What shipped

What We Actually Built

Each of these shipped in the last six months. The cards show what it would have cost to buy the same output from specialists.

A live dashboard showing our team's output in real-time

Any executive or investor can see exactly how much work is getting shipped, by whom, and whether we're accelerating — without having to ask anyone for a report. Replaces weekly status meetings, PowerPoint decks, and 'let me get back to you with numbers.'

Replaces: Weekly status meetings, reporting decks, and manual data pulls.
~240 human-hours
~$36,000 equiv.*

Software that fixes its own bugs overnight

When errors happen in our applications, our agents detect them, figure out the cause, write the fix, run quality checks, and deploy — often before a single customer notices. Replaces the pager duty and on-call engineer model that most software companies use.

Replaces: On-call engineer rotation and 3 AM pager alerts.
~160 human-hours
~$28,000 equiv.*

A complete sales playbook for a new service offering

Positioning, pricing, objection handling, and ROI framing — the full methodology our team uses to close new engagements. Replaces hiring a strategy consultancy to position a new service line.

Replaces: 1-2 weeks of strategy-consultant work at firm rates.
~60 human-hours
~$30,000 equiv.*

An automated outreach pipeline that personalizes every message

Enriches a list of prospects with research, writes personalized LinkedIn and email outreach for each one, pushes them into our CRM, and tracks replies. Replaces a 2-person SDR team plus the tools they would need.

Replaces: Two full-time sales development reps plus their toolstack.
~200 human-hours
~$30,000 equiv.*

A client onboarding system that deploys a custom agent team

When a new client signs with us, a complete agent team — customized for their business, their vocabulary, their workflows — is provisioned, tested, and handed off, along with an interactive training program for their team. Replaces 6-8 weeks of professional-services setup.

Replaces: Full implementation consulting engagement (6-8 weeks).
~320 human-hours
~$56,000 equiv.*

Overnight intelligence pipeline

Every night while we sleep: the team scans for industry trends, competitive moves, our own internal improvements, pipeline health, and surfaces a prioritized action list by morning. Replaces an analyst team.

Replaces: 2-3 full-time research analysts.
~40 human-hours
~$7,000 equiv.*

* Human-equivalent time estimated from commit complexity and session output. See methodology

The agents on this page are handling work your team is doing manually right now. If you want to see what that would look like for your operation, that is the conversation.

Every month this organization runs without agents is a month where the gap between you and the companies that have them grows wider and does not close.