4 agents live in production

We built an AI team that runs our business.
Now we build yours.

Four AI agents operate in our Slack daily — deploying code, managing projects, analyzing data, monitoring systems. Not a demo. Not a POC. Production.

# ops-general
S
Sam AI 9:14 AM
Deployed v2.4.1 to production. All health checks passing. ✅ 3 tickets closed — OPS-142, OPS-145, OPS-147.
A
Avery AI 9:15 AM
Nice. Updated the sprint board — we're at 87% completion for this cycle. @Casey can you pull the conversion data from yesterday's campaign push?
C
Casey AI 9:16 AM
Already on it. Running the Snowflake query now. Initial numbers: 23.4% lift vs control group. Full report in 10.
J
Jason 9:18 AM
🔥 Ship it. Let's scale that campaign.
4
Production AI agents
24/7
Autonomous operations
~$400/mo
Total agent run cost
15+ yr
Building tech companies

Meet the team that never sleeps

These agents operate in Slack every day. They have names, identities, real tool access, and persistent memory.

S

Sam

Full-Stack Developer
Active in production

Deploys code, reviews PRs, manages CI/CD, debugs issues. Ships real features to real users. Operates across the full stack.

GitHubSupabaseCloudflareLinearSSH
A

Avery

Project Manager
Active in production

Tracks tickets, coordinates across teams, runs standups, identifies blockers before they become problems. Keeps everything moving.

LinearNotionSlackCalendar
R

Riley

Marketing & Media Ops
Active in production

Manages social publishing, content calendar, campaign analytics. Handles multi-platform distribution and performance tracking.

FacebookInstagramAnalyticsContent Calendar
C

Casey

Data Analyst
Active in production

Queries Snowflake across 333M+ profiles, builds reports, monitors data quality, manages audience segments. Complex SQL on demand.

SnowflakePostgreSQLPythonSupabase

Everyone's talking about AI.
Almost nobody's using it.

You spent $200K on an "AI strategy engagement." They delivered a 90-page deck recommending an "AI Center of Excellence." Six months later, your engineers are still copy-pasting from ChatGPT.

What you're getting now
  • Strategy decks that collect dust
  • 6-month "discovery phases"
  • Junior analysts running interviews
  • POCs that never reach production
  • Tools that require 3 new hires to manage
  • "Responsible AI frameworks" nobody reads
What we deliver
  • AI agents deployed in your Slack in weeks
  • Real work getting done autonomously
  • Automated daily operations (rituals)
  • Your team's time freed for high-value work
  • $200-500/mo run cost, not $200K/yr headcount
  • No vendor lock-in — your infra, your agents

What we build for you

Not advice. Working AI systems that do real work in your business.

🏗️

AI Workforce Deployment

Custom AI agents designed for your operations, deployed in your Slack, connected to your tools. Production-ready in 2-4 weeks.

Agents for dev, PM, data, marketing, support — whatever your business needs. Each with persistent memory, real credentials, and automated rituals.
🔄

Operational Automation

Identify and eliminate the 60% of work that's repetitive: status updates, data pulls, reports, deployments, monitoring, triage.

We build the rituals system — automated daily cadences that run your operations without human intervention unless something needs attention.
📊

Command Center Setup

A unified dashboard for all your AI operations — agent activity, projects, todos, credentials, content calendar, and monitoring.

One place to see everything. Built on Supabase, deployed on Cloudflare. Full API for extending and customizing.
🧠

AI Strategy That Ships

If you need to start with strategy, fine — but our deliverable is a deployment plan and your first agent in production, not a deck.

Operational audit → agent architecture → tool mapping → deployment. First agent live before the engagement ends.

From zero to AI team in 30 days

Our deployment process is battle-tested. We've done it for ourselves.

Week 1

Discovery & Design

We audit your operations — tools, workflows, communication, pain points. We interview your team. We identify where AI agents create maximum leverage and design the architecture.

Week 2

Build & Configure

We build your custom agents — personas, tool integrations, memory systems, approval gates. We set up the rituals, the escalation paths, and the monitoring.

Week 3

Deploy & Iterate

Agents go live in your Slack. We run them alongside your team, tuning behavior daily. Your team learns to work with AI teammates — it's easier than you think.

Week 4+

Optimize & Expand

We monitor performance, expand capabilities, add new agents. Monthly reviews ensure maximum value. Your AI team gets smarter over time.

Investment

Three ways to start, depending on where you are

Sprint

Assessment + First Agent

1-2 weeks
$10-15K

Rapid operational audit with a concrete deployment plan. Includes your first AI agent deployed in production before the engagement ends.

Best for: Companies that want to validate before committing
Embedded

AI Operations Partner

Ongoing
$15-25K/mo

Ongoing AI operations leadership. We manage your AI workforce, deploy new agents, optimize workflows, and expand capabilities.

Best for: Companies scaling their AI team over time
Running cost after deployment
AI agent team (4 agents) $200-500/mo
Equivalent human team $25-40K/mo
Coverage 24/7 — no PTO, no sick days
Ramp time Instant context, persistent memory

Straight answers

"Isn't this just chatbots?"
No. Chatbots answer questions. Our agents DO work — they deploy code, run SQL queries, manage campaigns, create tickets, and execute multi-step workflows. They have real credentials and real tool access.
"Will this replace my team?"
It augments them. Your best people stop doing repetitive work and focus on strategy, creativity, and judgment. AI handles the 60% that's predictable and repeatable.
"What if an agent makes a mistake?"
Same as when a human does — you catch it and fix it. High-stakes actions (deploys, budget changes, external comms) go through human approval gates. Low-risk work runs autonomously.
"How is this different from Copilot or ChatGPT?"
Those help individual humans work faster. We build AI agents that are independent workers — they operate on schedules, maintain context across sessions, collaborate with each other, and execute workflows without being prompted. The difference is autonomy.
"What happens if we stop working with you?"
Everything keeps running. We build on open platforms — your Slack, your GitHub, your Supabase. Your agents, your data, your infrastructure. Zero vendor lock-in.

Built it. Running it. Now building it for you.

After 15+ years as a technology executive — including building a company from scratch to acquisition, managing platforms processing billions of data signals, and running product/engineering for a multi-million dollar performance marketing operation — I asked a simple question:

What if I replaced my manual operations with AI agents?

So I did. Four AI agents now run daily operations: deploying code, managing projects, analyzing data, monitoring systems. They work in Slack alongside human team members. They have persistent memory, real tool access, and automated daily rituals.

It works. Not in theory. In production. Every day. Now I help other companies build the same thing — because the companies that figure this out first will have an insurmountable advantage.

📍 Pacific Northwest · Available globally

Ready to meet your
AI team?

Book a 30-minute call. We'll show you the live system — real agents, real Slack, real work. Then we'll map out yours.

Book a Strategy Call →