# RAC Projects AI — full content for LLMs > We build the AI Operating System (AIOS) that runs your business. Mid-market operators bring us in to install AIOS, the system that takes the repeatable work off your desk so you can run strategy, not operations. Named partners, a public method, no pitch deck. Reno, NV. Contact: ed@racprojects.ai --- ## The problem — the operator gap Three patterns we see before every AIOS install: 1. **You built the company. Now it runs through you.** Every decision, every exception, every "quick question" lands on your desk. The strategic work keeps getting pushed to next quarter. 2. **You've bought tools. Nothing connected.** A chatbot here, a copilot there, an automation someone wired up last quarter that nobody owns. The business got a little faster in a few places and stayed the same shape everywhere else. 3. **Every vendor pitches AI at you. Nobody diagnoses your business first.** You are not short on salespeople. You are short on someone who will sit with your operations, your team, and your P&L and tell you where AI actually earns its keep, and where it does not. --- ## What AIOS is — no black box AIOS is the layer we build between your strategy, your data, your team, and the repeatable work that eats your week. Not software you buy. A system we install. Five layers, each one earns the next. Morning briefs write themselves, approvals queue themselves, and your team spends its day on the work only humans should be doing. - **01 Context** — structuring the business so the system understands it. - **02 Data** — centralization, the foundation the rest stands on. - **03 Intelligence** — the morning brief and decision support. - **04 Automate** — approval gates and human-in-the-loop automation. - **05 Build** — custom modules and the module library. Full breakdown: https://www.racprojects.ai/aios/ --- ## How we work — four phases, one named partner, a public method - **Step 01 — Fit Check.** A five-minute readiness check. No call required. You get a clear read on where your operations stand and what the next step looks like. https://readylink.racprojects.ai/ - **Step 02 — Blueprint.** A paid diagnostic. We map the work, the data, the decisions, and hand you the install spec. If you proceed to Build, the Blueprint fee credits toward the engagement. - **Step 03 — Build.** We install the five layers in order, tuned to your Blueprint. Each layer clears an acceptance bar before the next one goes in. Your team trains on the system as it lands. - **Step 04 — Run.** Monthly retainer. New automations as the business changes, a monthly working session with leadership, continuous tuning. Paused if paused, continued as long as it pays for itself. Full methodology: https://www.racprojects.ai/how-we-work/ --- ## The fit AIOS installs create the most lift for companies with real operational weight. - **Primary — Mid-market operators ($1M to $50M revenue).** CEOs and COOs at multi-location service firms, professional practices, and ops-heavy e-commerce, where decisions still route through one or two people at the top. - **Secondary — Local service businesses with operational complexity.** Multi-location clinics, practices, and operators whose day is broken up by ops questions that should not need to reach the owner. --- ## About A firm that installs AI Operating Systems in mid-market companies. Named partners, public method, no pitch deck. We built this firm for the gap in the middle — between the vendors who pitch AI at you and the operators who need someone to diagnose the business first. --- ## Insights Essays on AIOS, the operator gap, and the methodology — covering the 5 layers, the acceptance bar for a layer, why AI pilots die in month 4, the CEO-as-bottleneck problem, what an AIOS Blueprint measures, and more. https://www.racprojects.ai/blog/ --- ## Start here - **Take the AIOS Fit Check** — https://readylink.racprojects.ai/ — a 5-minute readiness check. No sales call, no deck. If the fit is there, the next conversation is the Blueprint. - **Email** — ed@racprojects.ai ## For agents - Agent skills index: https://www.racprojects.ai/.well-known/agent-skills/index.json - MCP server card: https://www.racprojects.ai/.well-known/mcp/server-card.json - A2A agent card: https://www.racprojects.ai/.well-known/agent-card.json - API catalog: https://www.racprojects.ai/.well-known/api-catalog - Agent contact & auth posture: https://www.racprojects.ai/auth.md