>_ actions.engineering

Low friction → High conviction

Build living context that bridges human intent and AI execution. Specifications emerge through discovery—no formal docs required. Your ideas evolve into precise, executable actions that AI agents complete with confidence.

1. Capture

💭"Build blog"
🎯"Add auth"
🔧"Fix perf"
Vague ideas

2. Contextualize

🔗Links found
🌐Parent set
📊Similar work
In the graph

3. Discover

🔍Analyze gaps
🧩Decompose
Surface reqs
Clear spec

4. Execute

🧠Context guides
Deps ready
95% success
Ships fast

5. Broadcast

📡Share done
🔄Update map
📚Learn more
Done →
Possible

Solo Founders

  • Precise product vision to match your vibe coding momentum
  • 10x faster product operations, not just code
  • Ship coherently even when building chaotically

IC Engineers

  • Delete all the busywork: status reports, backlog grooming, poker planning
  • Capture ideas without breaking flow
  • Progress self-documents from your actual work

Team Leads

  • Skip the Jira hygiene, get real visibility
  • Context persists across team changes
  • Stakeholder updates write themselves

AI tools have no connective tissue

LLMs generate 10x more ideas than before, but each tool is an island. Linear and Jira connect human teams—nothing connects AI agents.

MCP Action Graph

A shared context layer that spans ChatGPT, Claude Code, Cursor, Replit, Figma, V0, Grok—all your tools speak the same language through MCP.

AI fails on unsurfaced requirements

Agents waste cycles building the wrong thing. They pick the wrong framework, wrong style, wrong approach—because requirements hide in your head. Every assumption is a potential failure.

Discovery-driven specifications

Surface requirements before execution. Quick discovery actions capture your preferences, building specs naturally. AI agents execute with confidence, knowing exactly what you want.

Human collaboration is a dumpster fire

"When will it be done?" Engineers in headphones, protecting fragile flow states. One tap on the shoulder destroys hours of context. We translate progress through layers of meetings because no one can see the work.

Transparent Progress and Roadmap

Plans that update themselves when reality changes. Anyone can see what's done, what's next, when it ships. The roadmap stays true even as priorities shift. No stale documents—just living truth.

How intent becomes execution

Your specifications write themselves through natural interaction.

Start with vague ideas: "build a blog," "add authentication," "improve performance." The system surfaces hidden requirements through discovery actions—quick decisions that capture your preferences. Each discovery builds a living specification that AI agents can execute with 95%+ success rates.

No formal spec writing. No back-and-forth clarifications. Just natural evolution from intent to executable work. The graph learns your patterns, preventing wasted AI cycles on the wrong solutions.

MCP-powered • Works with ChatGPT, Claude Code, Cursor, and your existing tools

Stop writing specs. Start shipping code.

Bridge the gap between what you want and what AI builds. Natural discovery replaces formal specifications. Your intent becomes executable reality.

Start your context flywheel