Run your marketing org as an orchestrated AI team instead of a $50K/mo tool stack and scarce specialists. 9 agents own the functions, 12 expert skills provide the methodology, and end-to-end missions ship real artifacts (lead lists, A/B plans, ROI reports). Built with GitHub Copi
SaferSkills independently audited ai-marketing-os (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<p align="center"> <img src="./public/hero.svg" alt="AI Marketing OS — an AI team for every marketing function" width="100%" /> </p>
<p align="center"> <b>An interactive showcase of an autonomous AI marketing team.</b><br/> 9 specialist agents · 12 expert skills · end-to-end mission walkthroughs. </p>
<p align="center"> <a href="#"><img alt="Next.js" src="https://img.shields.io/badge/Next.js-16.3-000?logo=nextdotjs&logoColor=fff"></a> <a href="#"><img alt="React" src="https://img.shields.io/badge/React-19-149eca?logo=react&logoColor=fff"></a> <a href="#"><img alt="TypeScript" src="https://img.shields.io/badge/TypeScript-5-3178c6?logo=typescript&logoColor=fff"></a> <a href="#"><img alt="Tailwind" src="https://img.shields.io/badge/Tailwind-v4-38bdf8?logo=tailwindcss&logoColor=fff"></a> <a href="#"><img alt="Framer Motion" src="https://img.shields.io/badge/Framer%20Motion-12-0055ff?logo=framer&logoColor=fff"></a> </p>
ai-marketing-os is a cinematic, end-to-end showcase site for the AI Marketing OS — a thesis that modern marketing teams should be operated as an orchestrated team of AI agents, not a stack of seven SaaS tools and a few scarce specialists.
It pairs a narrative landing experience with a fully interactive Launch mission that streams agent handoffs, console output, and typed artifacts in real time. The pre-scripted mission timeline runs entirely client-side, so the demo is reproducible and never burns API credits.
Disclaimer: this site is a demo. All scenarios, agents, missions, artifacts, metrics, and figures shown are hypothetical and use synthetic data created for demonstration purposes only.
Modern marketing teams face four compounding problems:
The AI Marketing OS reframes this as a 4-layer architecture: skills → agents → orchestration → artifacts.
| Layer | Count | Role |
|---|---|---|
| Skills | 12 | Markdown methodologies (Bayesian A/B math, MEDDPICC, CRO audits, cohort LTV, …) |
| Agents | 9 | Named specialists with clear ownership that load one or more skills |
| Orchestration | — | Agents hand off typed artifacts along a graph; the data flow is the program |
| Artifacts | ∞ | Real deliverables — CSVs, plans, scorecards, ROI reports — that ship |
| Agent | Role | Call sign |
|---|---|---|
| Atlas | SEO | Mapper of demand |
| Echo | Content | Voice of the brand |
| Nova | Growth | Bayesian and bold |
| Lens | Conversion | Funnel surgeon |
| Forge | Outbound | Sequence architect |
| Scout | Sales Pipeline | Signal in the noise |
| Anvil | Sales Playbook | Deal carpenter |
| Oracle | Revenue Intelligence | Reads the losses |
| Ledger | Finance | Unit economics conscience |
Grouped by category:
The upstream methodology library lives at ai-marketing-claude-skills.
| Route | Purpose |
|---|---|
/ | Overview landing: hero, problem, solution, extent, why-now, how-it-works, skills, missions, CTA |
/how-it-works | Architecture deep-dive: layer-by-layer walkthrough with code panels and contrast tables |
/skills | The 12 skills cataloged by category, each linking to its upstream README |
/missions | Mission scenarios (Launch a Product, Rescue a Stuck Pipeline, A Week at the AI Marketing Org) |
/missions/launch | Fully interactive Launch mission with live agent graph + console + artifact feed |
/about | Why this exists + related portfolio |
git clone https://github.com/varunk130/ai-marketing-os.git
cd ai-marketing-os
npm install
npm run devThen open <http://localhost:3000>.
| Script | What it does |
|---|---|
npm run dev | Start the Next.js dev server with Turbopack |
npm run build | Production build |
npm start | Serve the production build |
npm run lint | Run ESLint |
.
├── app/ # Next.js app router
│ ├── about/ # About page
│ ├── how-it-works/ # Architecture deep-dive
│ ├── missions/ # Mission scenarios
│ │ └── launch/ # Interactive Launch mission
│ ├── skills/ # Skills catalog
│ ├── globals.css # Design tokens + Tailwind v4 theme
│ ├── layout.tsx # Root layout (header + footer)
│ └── page.tsx # Home (overview)
├── components/
│ ├── mission/ # Mission runtime (console, graph, widgets, …)
│ ├── overview/ # Landing-page sections
│ ├── site/ # Header + footer chrome
│ └── ui/ # Reusable primitives
├── data/
│ ├── agents.ts # 9 specialist agents
│ ├── skills.ts # 12 skills
│ ├── missions.ts # Mission summaries
│ └── missions/launch-timeline.ts
├── lib/
│ ├── hooks/use-typewriter.ts
│ ├── mission-store.ts # Zustand store for mission playback
│ └── utils.ts
└── public/
└── hero.svg # README + OG hero imageThe site uses a custom dark-first design system defined in app/globals.css:
This is a personal portfolio project. The main branch is protected:
CODEOWNERS and branch protection)If you spot a bug or have a suggestion, open an issue — happy to chat.
This site is part of a broader portfolio of AI-builder repositories:
ai-marketing-claude-skills — the 12-skill source library this site visualizesai-pm-agents-suite — a 6-agent PM pipeline + 3 standalone PM agentsai-gtm-skill-library — 37 opinionated GTM skillsai-ux-skill-library — 13 frameworks for UX of AI productsai-workflow-playbooks — 21 playbooks + 10 skills + 4 guardiansclaude-code-skills — 29 production-grade skillsai-legal-agents-skills-os — one master legal agent, 9 specialist skillsai-growth-os — a compounding growth loop: find → design → ship → learnai-revops — 9 agents take a company into a new market end to endBuilt by [Varun Kulkarni](https://github.com/varunk130) — AI Builder at Microsoft, Forbes Tech Council member, and author of a portfolio of AI agent and skill libraries spanning product, GTM, UX, and decision-making.
Released under the MIT License.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.