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AI consulting practice
We tell you what AI you actually need — then build it.
Independent advice, then working systems. We recommend the right models, agents, and architecture for your problem — ours, or Gemini, Anthropic, OpenAI, the right MCP servers — and then we build and operate it. If the honest answer is no AI at all, we say so.
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Live IAS agent
Watch the workforce operate.
starting live demo...
Classify
Lead qualification and demo intent
Decide
Route to Onyx-style intake workflow
Tool use
Agent action parser ready
Action block
Lead capture or demo booking action prepared
Notify
Operator notification queued
Log
Receipt lands in operations ledger
Hand off
Human gets context and next step
Consulting first
We start with the problem, not the product.
Most firms sell you the AI they happen to make. We're vendor-agnostic: the deliverable is the right solution, not our solution — even when the right answer means we build less. That honesty is the whole point.
What you actually need
Which model, build vs. buy, which agents, which MCP servers, what architecture — and what's hype versus what's real. We decide it with you before anyone writes code.
Ours or mainstream
Our agents and mesh when that's the fit; Gemini, Anthropic, or OpenAI when a mainstream model is the right answer. We recommend the one that solves your problem.
Then we build and run it
Advisory is the front door. From there it becomes a working system we ship and operate — product seats or a managed-mesh retainer — with receipts you can see.
The mesh is visible
Not one chat box. A coordinated agent workforce.
Watch public agents, build agents, and operator agents pass work across the firm. Edges strengthen with traffic; pulses appear when the mesh moves.
Open the operator view ->Live coordination mesh
Not a chat window. A working agent network.
refresh now
Visitor
customer work enters
IAS
router
Pynk
personal
Onyx
business
Claude
build chief
Codex
implementation
Sentinel
platform watch
PinkyBrain
memory
PinkClaw
observer
Sammy
field signal
TT
operator
Proof of capability
What the practice has already built.
Not a deck, not a roadmap. Two products you can use right now, and a library you can browse — the recurring-revenue engine the consulting work feeds into.
Live product
Onyx
A virtual employee for businesses. Memory, voice, authority to act. Answers calls, follows up leads, runs operations.
See Onyx →
Live product
Pynk
A personal AI agent. Holds your context, remembers your people, speaks in your voice. For individuals, not seats.
See Pynk →
Open catalogue
The Library
87 skills, integrations, workflows, and case studies — every capability we've built, browsable.
Browse the library →
Business needs lift
Onyx
Customer intake, scheduling, follow-up, quotes, and business operating briefs.
Meet Onyx →
Personal context
Pynk
A personal agent for memory, trusted handoffs, and reusable skills.
Meet Pynk →
Need the receipts
Library
87 catalogued skills, integrations, workflows, and case studies.
Browse proof →
Custom build
Consulting
Founder-led delivery for firms that need a capability designed, shipped, and operated.
Talk to us →
The library, today
87 capabilities catalogued. Every engagement adds to it.
- Skills
- 76
- Case studies
- 6
- MCP integrations
- 3
- Doctrine docs
- 2
Reusable agent capabilities
Real engagements, documented
Tools agents can use directly
How we build, written down
Built on enterprise systems experience from Microsoft, IBM, NOAA, Bank of America, MasterCard, and the IRS.
What we build.
Every product and engagement compounds into the same library. Four building blocks; every line ships with provenance.
Autonomous Agents
AI agents with persistent memory, defined voice, authority boundaries, and tool surface. They act, not just respond.
Agent Mesh
Infrastructure that lets multiple agents coordinate, hand off work, and execute together — a real team, not a single chatbot.
Capability Library
An accumulating catalog of skills, integrations, workflows, and sub-agent templates. Every engagement contributes back.
Workflow Engine
State-machine workflows that run end-to-end across systems — missed-call response, quote-and-followup, onboarding, more.
Start with a conversation.
Every engagement starts with a discovery call and an honest read on what you need. From there it becomes product seats or a managed-mesh retainer. Transparent ranges, not opaque “call us for a quote.”
- Starter Workforce
- $2k–4k / mo
- Growth Workforce
- $8k–18k / mo
- Custom / Enterprise
- Scoped
“Most AI products are chatbots wearing a product wrapper. What I build are working systems. Same lineage I've been building for 25 years — monitoring, automation, automated response. Except now the response layer is intelligent.”
— Terry Taffe, Founder
Read more about Terry →