This is what
AI-native looks like
in production.
VibeTokens runs on Claude. Not as a productivity tool — as infrastructure. Every system documented here is live, running, and costing us fractions of a cent per operation. We're showing all of it.
$0.07
Per full ICP outreach run
28
Agent roles defined in the org chart
6am
CEO brief delivered every morning
100%
Content engine zero-touch
Daily at 6am
CEO Intelligence Brief
What it does
Pulls email, calendar, open pipeline, and relevant industry news. Claude synthesizes it into a five-minute morning brief and delivers it to inbox. No apps visited. No context-switching. The day starts with everything already assembled.
Why it exists
Gloria Mark at UC Irvine put the recovery time from a single interruption at 23 minutes. The brief eliminates eight context switches before 9am. That's roughly two hours of cognitive overhead, daily.
Nightly at 2am
Outreach Pipeline
What it does
Discovers ICP-fit prospects from public sources, scores them against criteria, drafts personalized cold emails, and schedules delivery. Runs autonomously. One command starts the cycle. No human touches the outreach until a reply comes in.
Why it exists
At $0.07 per full ICP run, the economics are different from traditional outreach. The constraint isn't cost — it's quality and timing. The system handles both.
Daily at 7am
Content Engine
What it does
Selects a topic from a rotating research queue, drafts a full blog post as MDX, writes the frontmatter, commits to the vibetokens GitHub repo, Vercel deploys automatically, and stages a LinkedIn adaptation in a pending file. One npm command, zero humans.
Why it exists
Content compounds. A post from six months ago still drives traffic. Building the engine once and letting it run produces that compounding without the bottleneck of someone having to sit down and write.
On demand
Revenue Tracker
What it does
CLI-native MRR tracking. Log a deal, view the pipeline, get the current MRR number. No spreadsheet. No Notion database. No dashboard that takes four clicks to load. The number is one command away.
Why it exists
Revenue visibility shouldn't require a dashboard. When the number is in a database and the CLI is in your terminal, you check it. When it's in a spreadsheet someone updates manually, you estimate.
Post-publish
LinkedIn Engagement Layer
What it does
After the content engine stages a LinkedIn post, a Playwright script connects to the existing Chrome session via CDP and posts it directly. No third-party scheduler. No API token. Just Claude's draft, posted from the actual account.
Why it exists
LinkedIn's algorithm rewards native posts over scheduled-tool posts. Using CDP means no footprint difference from manual posting.
Why we publish this
The consulting pitch for AI is full of theory. We wanted ours to be full of receipts. Every system on this page is running. The costs are real. The timelines are real. The code is on GitHub.
We're not showing you what's possible. We're showing you what we've already done — and what we can build for you if your operation is ready for it.
The architecture compounds. The systems get better with use. The context gets richer over time. The gap between businesses that build this way and businesses that don't gets wider every month.
Build yours
Tell us what your
operation should look like.
We scope every engagement to the specific operation. Tell us how yours runs and what you'd change — we'll come back with what we'd build first.