Claude Consulting

Claude isn't a tool. It's infrastructure.

We design and build the AI operations layer for businesses that are ready to stop experimenting and start depending on it.

If this is where you are

You understand Claude's capability. You don't have the cycles to architect around it.
Your team is using AI ad hoc — everyone has a different workflow, none of them compound.
You've scoped out what an autonomous ops layer would look like. You need someone who's already built one.
You want intelligence embedded in your business — not a subscription to a chat window.
You're ready to move from experimenting with Claude to depending on it.

The constraint isn't Claude's capability. It's the architecture work required to make it load-bearing. We've already done that work on our own operation. Now we do it for others.

Running in production — our own operation

We built it on ourselves first.

VibeTokens runs almost entirely on Claude. Outreach, content, onboarding, reporting, revenue tracking — all of it is autonomous. We don't consult on AI theory. We build the exact systems we run.

The codebase is public. github.com/vibetokens/agency-os — every system we sell, you can inspect before you buy.

CEO Intelligence Brief

Runs at 6am. Pulls email, calendar, pipeline, news. Synthesizes into a five-minute brief. Delivered to inbox. No app-switching.

Autonomous Outreach Pipeline

Discovers prospects, scores them, drafts personalized emails, schedules sends. Runs at 2am. Costs $0.07 per full ICP run.

Content Engine

Researches topics, drafts blog posts, formats MDX, commits to GitHub, deploys to Vercel, drafts the LinkedIn post. Zero human in the loop.

Revenue Tracker

CLI-native MRR tracking. Log deals, view pipeline, get next-action prompts. No spreadsheet. No dashboard. Just the number.

Client Onboarding Flow

Intake → CRM entry → contract draft → onboarding email sequence. Triggered automatically. Fully Claude-authored.

LinkedIn Engagement Layer

Monitors 10 target accounts daily. Drafts context-aware responses. Runs via Playwright CDP. No manual scrolling.

Engagement models

Scoped to the build.

Architecture Audit

1 week

We map your entire operation — where information flows, where humans are bottlenecks, where Claude belongs. You get a prioritized build list ranked by leverage, not complexity. No generic AI report. An actual system design.

Core System Build

2–4 weeks

We design and deploy the highest-leverage system in your operation. Could be your morning intelligence brief, your outreach pipeline, your content engine, or your client onboarding flow. Built on Claude API + Claude Code. Production-ready on day one.

Full Ops Layer

6–12 weeks

End-to-end: we design and build the complete AI infrastructure for your business. Multiple autonomous systems running in coordination. CEO brief, pipeline, content, reporting — all wired together. This is what it looks like when Claude runs the ops layer.

MCP Integration

1–2 weeks

We build custom MCP servers that connect Claude to your existing tools — your CRM, your calendar, your database, your APIs. Claude stops being a standalone tool and starts being the intelligence layer that reads and acts across your entire stack.

Claude Code Setup

3–5 days

We configure Claude Code as your development environment — CLAUDE.md files, agent roles, hooks, subagent architecture. Your team stops writing code with AI assistance and starts directing AI systems that write code for them.

Retainer

Ongoing

Monthly: system audits, new build additions, prompt and context optimization, Claude model updates. Your AI infrastructure evolves as the model improves and your operation grows.

The frame

Most businesses use Claude.
Few have designed around it.

There's a difference between having Claude in your stack and having Claude as your stack. The first is a productivity tool. The second is an architectural decision — one that changes who does what, how information moves, and what your business can do without adding headcount.

The businesses that figure this out in 2026 are going to look back at the ones that didn't the way Amazon looked at Borders. Not because AI is magic. Because architecture compounds. The systems get smarter, the context gets richer, and the gap between them and you gets wider every month they run.

We build the architecture. You run the business.

Go deeper

Ready to architect

Tell us what you'd build if you could.

Describe your operation. We'll come back with what we'd build, why, and what it would change.