// 04_products.md
Products. Own the method, keep the capability.
// working_with_ai · read before you buy
- AI is probabilistic, not deterministic. Run the same Skill twice and you will get different drafts. That is how the technology works. Treat every output as a draft to challenge, not an answer to accept.
- Quality in, quality out. The output is only as sharp as the input you provide. Thin or vague input produces thin output. Specific, honest input produces work worth keeping.
- AI makes mistakes, just like humans do. It can misread context, overstate confidence, or get facts wrong. Anything that matters must be reviewed and verified by you before you rely on it. With Self-Led packages, you are that reviewer.
Our Licence & Terms say the same thing more formally: packages are thinking tools, provided as-is, and no outcome is guaranteed.
// canopy_packages
3 available · 6 on the roadmap
Our framework, packaged: prep with a Claude Skill, sharpen it in a workshop, own the artifact. Run it yourself, or have us facilitate.
// training
Live capability transfer, on your screen: we guide, you build. Direct training on the tools and workflows, no Canopy Skill involved.
Build & Run: Product Development Stack
“I want to ship a digital product myself: a web app, site, or webshop, live.”
Build & Run: Basic Operations Stack
“I want AI running the basics of my week: planning, updates, intake, reporting.”
// roadmap
More packages, shaped by demand.
The ones people ask for most are the ones we build next. Tap “I want this” to vote and get notified.
ICP Identification
“Who exactly is my first customer?”
Value-to-Solution Mapping
“Does what I'm building actually map to value someone will pay for?”
Competitive Landscape
“Who am I really competing with, and where is the gap I can win?”
AI-native Outbound Campaign
“How do we test the value prop at scale with AI-native outbound?”
Valuation
“What is my company worth, and how do I justify it?”
Exit Options Strategy
“I'm thinking about a capital event or sale. What are my options?”