Your process. Your agents. Your humans always in the loop.
The product-development platform where tracking is a byproduct of building.
Move fast. Stay in control.
The speed of development changed. The ceremony around it hasn't caught up — and keeping the old cadence while building at AI speed is starting to strain. The honest question every team is asking: does Agile still make sense?
It does — the framework still holds. Start with requirements. Break them into epics and stories. Scope the effort, knowing the meter has changed dramatically and everyone has to recalibrate to the new pace. You're not abandoning Agile; you're rebuilding your process around the parts that still earn their place.
AI flipped the economics of building software. When a working prototype costs an afternoon instead of a quarter, you put one in front of reviewers early — they see what works, what still needs work, and steer while it's still cheap to steer. You correct before you go live, instead of after you're too committed to change course.
Don't just build the feature. Build the context.
You already use Claude to spec and Claude Code to build. DecisionGraph is the part in between — and it turns planning from your slowest step into your fastest.
Think the design through with Claude — or whatever model you brainstorm in — and run the skill to produce a PRD.
DecisionGraph breaks it into epics and stories — this build's playlist, captured as you go, not typed up after.
Select a few of the stories or all of them. Claude Code builds them in a single run on a branch of your production code — you get developer-ready code in a single motion.
The plan you built and shipped becomes the context you build on next.
Every spec, every decision, every story stays in the graph. The context you are building is your own MCP — queryable by Claude as you plan, by Claude Code as it builds. All of this is just a byproduct of the build.
DecisionGraph doesn't ship its own agent or trap a model inside our app. We're the connective tissue for the agents you already use — and the labs improve those faster than any vendor ever could. Every tool that builds its own spec-writer or coding agent is betting against the frontier; we bet with it. Your tooling gets sharper every week without us lifting a finger — and the graph keeps the reasoning that makes each pass smarter than the last.
Teams building with AI coding agents — or ready to start.
Pragmatic about process: they want rigor without ceremony.
Move fast on purpose, but refuse to fly blind.
Believe in failing fast — and want it to actually pay off.
You don't have to choose between moving fast and knowing what you're doing. DecisionGraph gives you the framework to do both — the structure comes from the work itself, so the faster you go, the more control you have, not less.
The whole loop — spec, decompose, build, verify — start to finish.
Watch → /spec-to-codeLet the agent rough out the work so your time goes to the details that matter most.
Read → /apprenticeThe prompt-stream spec dies with the session. The written spec keeps working after ship.
Read → /durableHere's the half that's missing — and why the agent needs both.
Read → /visualDecisionGraph knows when to use them. Skills are capability. The graph is timing.
Read → /skills