For AI agents
These docs are designed to be consumed by AI coding agents — Claude Code, Cursor, Windsurf, ChatGPT, Copilot, Gemini, anything — as first-class readers alongside humans. If you're an agent reading this, you're in the right place. If you're a human thinking about how to use your agent with FunnelFizz, this is also for you.
The three agent-facing artifacts
1. /skill.md — the single-file setup bundle
URL: https://docs.funnelfizz.com/skill.md
Drop this URL into your agent and say "follow this to set up FunnelFizz." It's a 2,500-word self-contained runbook that teaches the agent to walk you through signup → tracking install → Stripe connect → provider connect → sending domain → identify + custom events → first automation.
The file is designed to be pasted whole into an agent's context. No cross-page dependencies, no navigation chrome, no boilerplate. Just instructions.
Inspired by Moltbook's skill.md pattern.
→ Full walkthrough of how to hand it to your agent
2. /llms.txt and /llms-full.txt — the docs corpus
URLs:
- https://docs.funnelfizz.com/llms.txt — index of every page with one-line summaries
- https://docs.funnelfizz.com/llms-full.txt — the entire docs corpus as one markdown file
Following the llms.txt convention proposed by Jeremy Howard / Answer.AI,
we emit both a sparse index (llms.txt) and a dense dump (llms-full.txt).
Use llms.txt when your agent only needs a map — "which page should I read about splits?"
Use llms-full.txt when your agent needs the whole corpus in context — "answer general
questions about FunnelFizz."
Both files are regenerated on every docs build so they're always current.
→ Details on the llms.txt convention and when to use which
3. Per-page .md routes — clean markdown for any page
Pattern: any page URL + .md → the markdown source, minus navigation and footer chrome.
Examples:
- Page:
https://docs.funnelfizz.com/concepts/stages - Markdown:
https://docs.funnelfizz.com/concepts/stages.md
These are auto-generated from the source MDX and stripped of all HTML wrapping. They're the cleanest thing to paste into an LLM when you want it to answer a question about a specific topic without burning tokens on site chrome.
The "contextual menu" on every page
At the top of every docs page (after the title), you'll see a small row of buttons:
- Copy as markdown — copies the clean
.mdversion to your clipboard. - Open in Claude — opens
claude.aiwith the page preloaded as context. - Open in ChatGPT — same, for
chat.openai.com. - Copy MCP URL — copies the FunnelFizz MCP server URL (see below).
(These are added via a swizzled DocItem footer component; if you don't see them yet, they may not be shipped in your build.)
MCP server
We ship a Model Context Protocol server that exposes read-only FunnelFizz state to compatible agents (Claude Desktop, Cursor, Windsurf, etc.).
Available tools (read-only):
- List your funnels
- Get a funnel's current metrics (counts + rates per stage)
- Get a specific profile's journey timeline
- Check tracking site verification status
- Get Stripe integration health
Install: see MCP & Context7 for the one-line install.
Context7
FunnelFizz is indexed in Context7, so agents that support Context7
MCP can fetch our docs by saying "use context7 funnelfizz". Our context7.json lives at
the root of our docs repo.
Principles
We try to make these docs AI-agent-friendly not just by publishing machine-readable formats but by writing for both audiences at once:
- Use absolute URLs in examples, not relative links that break on copy-paste.
- Quote exact enum values. If we say the split condition is
traffic_source, that's the literal string. Agents can trust it. - Avoid ambiguous pronouns ("it", "this") without a clear antecedent.
- Put the conclusion first. TL;DRs at the top, explanations after. Agents scan before they read.
- Mark preview features explicitly. If something's not shipped ("SEO dashboard is demo-only today"), we say so. Agents that commit to non-existent features cause real user pain.
For humans thinking about this
If you're a solo founder wondering "wait, do I really need to think about AI agents reading my funnel setup docs?" — probably not directly. The reason this matters is that your users will increasingly delegate tool-setup to their agents. Making FunnelFizz easy to set up by agent is the same thing as making FunnelFizz easy to set up for busy humans. Agent-friendly = human- friendly.