Flagship Implementation
The operational intelligence layer for your business.
Ingests your operating documents and pulls in industry intelligence into a live knowledge graph. Runs an AI advisory council against your data. Cites sources, flags risks, and gets sharper every time you use it.
The Problem
Your business runs on knowledge scattered across folders, inboxes, and undocumented meetings. When the next big call comes (hire or outsource, raise or bootstrap, expand or focus), you're working from fragments.
Consultants leave a 200-slide deck. AI chatbots don't know your business. Cortex does neither. It runs an advisory council against your actual data. Your history. Your blind spots.
How It Works
Your documents and live industry feeds become structured knowledge. Your council deliberates. You get one clear answer with confidence, citations, and dissent on the record.
PDFs, decks, transcripts, financials. All ingested.
News, regulatory updates, competitor signals. Continuously scouted into the same KG.
Structured, searchable, always current.
Strategist, Pragmatist, Skeptic, Lean Black Belt, plus a Domain expert tuned to your business. They deliberate. They disagree. Dissent stays on the record.
One clear answer. Confidence-scored, sources cited, dissent on the record.
The Council
Cortex agents behave like a trusted council. Truthful, candid, and on the record: lead with the counterargument when there is one, give explicit confidence (high, moderate, low, unknown), and tell you when you're wrong instead of telling you what you want to hear. Generalists on every decision, plus specialists tuned to your business when the question demands depth.
Holds the long view. Competitive position, optionality, the story you'll tell three years from now.
Holds execution. What ships, what blocks ship, the real sequence of next moves.
Holds risk. What could go wrong, which assumptions are weakest, what would change the call.
Holds capital efficiency and process discipline. The smallest version that proves the bet, what to cut if budget halves, where the waste lives.
Setup includes a Domain agent seeded from your documents. Add Legal, Finance, Industry, or any other lens your decisions warrant. Council depth scales with the question: light for routine calls, deep when the stakes (or the budget) call for it.
A Real Artifact
One deliberation, condensed. This is what lands in your decision archive when the council weighs in. Every persona named, every claim sourced, dissent on the record.
Three commercial inquiries last quarter and an OEM offering co-marketing dollars. Skipping the segment hands the channel to a regional competitor.
Bid two pilot projects in the next 90 days before committing to crew hires. Install team is at 78% capacity; commercial code differences need recertification on two staff.
Margin compression as utility-scale players enter the segment. Cash flow drag from 90-day commercial payment terms. Crew skill gap: commercial code is materially different from residential.
Start with battery-only retrofits on existing solar customers. Lower install complexity, established trust, ~12-week payoff per project. Half the capital exposure of a full commercial play.
The Difference
Cortex isn't a replacement for ChatGPT or Claude. It's everything raw LLM use is missing for actual business decisions: your context, real citations, multi-perspective pushback, and memory that compounds.
What's Included
A working Cortex in your environment in 1–2 weeks. Run it solo after that, or keep me on as a fractional operator who tunes the system and sits in on the decisions that matter.
Trust
Cortex runs in your environment. Documents, KG, and decisions live on infrastructure you control. Nothing is mined for training.
No black-box recommendations. Every output points back to the documents, KG nodes, and prior decisions that grounded it.
Cortex is the intelligence layer, not the agency layer. It surfaces options and flags risks. You make the call.
Questions
In your environment. Self-hosted on infrastructure you control: your laptop, an office server, or your cloud account. Nothing leaves.
No. Cortex uses your data to ground responses through retrieval, not to train. Corrections feed a calibration loop that lives only in your deployment.
Everything is yours. KG and decisions are plain markdown. Conversation history is SQLite. Cancel any time and keep your data plus a frozen snapshot of the system.
Cortex is built so the answer doesn't depend on me. Your KG and decisions are plain markdown. Your conversation history is SQLite. Your model runs on your own Anthropic or Ollama key. The whole deployment lives in your environment. If I step away from the project, you keep the data, the archive, and a working system. Source code escrow available on request.
Default is Claude (Sonnet for personas, Haiku for routing) using your own API key, so you control rate limits, costs, and version. Local Ollama models supported for full air-gap.
You bring your own Claude or local-Ollama key, so the bill is yours and visible in your own console, not buried in a SaaS line item. Most teams land between $50 and $300 per month at current Claude pricing, depending on how often you use it and how many specialist agents you add. Light queries cost cents. Deep council deliberations on high-stakes questions cost more. Run fully local on Ollama to take token costs to zero.
Every output ships with confidence, citations, and dissent. When something's wrong, you correct it in-line. The correction tunes future answers so the same mistake is less likely.
Yes. Multi-user from day one with admin and member roles, shared KG, shared decision archive. Built for teams of 1 to 20.
One to two weeks. Week one: deploy, ingest, seed KG, author Domain persona. Week two: tune, train your team. Then it's live.
A 15-minute call is enough to figure out if Cortex OI fits. If it doesn't, I'll tell you what does.