The gap between your intent and your agent's output is the most expensive problem in AI. CreatorNotes is a spatial canvas where humans and agents build shared understanding.
Works with Claude Code, ChatGPT, Cursor, and any agent with CLI access.
You explain what you want. The agent does something close but not quite right. You correct it. It forgets. Next session, you start over. The problem isn't the model — it's that there's no shared surface for alignment.
Intent lives only in your head
invisible to agents
Agents guess what you meant
misaligned output
Corrections vanish between sessions
no learning
No way to inspect agent reasoning
black box
Chat logs don't fix this.
You need a shared space for intent.
CreatorNotes is a spatial workspace where intent, knowledge, and agent output live side by side — visible to both humans and agents.
Agents write to the canvas. You see what they know.
Every note, connection, and decision an agent makes is visible on the spatial canvas. No more wondering what the agent understood.
You set the goal. Agents stay aligned.
Canvas goals and structured context give agents persistent direction — not just a prompt, but a living contract of intent.
Corrections persist. Agents learn across sessions.
When you fix something, it stays fixed. Named relationships between notes mean agents understand not just facts, but how they connect.
Not a prompt chain.
Not a chat history.
A shared space for thinking together.
Inspect what agents know.
Open the canvas and see every note, relationship, and decision your agent has made — laid out spatially, not buried in logs.
Correct and redirect.
Edit notes, add relationships, set canvas goals. Your corrections become persistent context that agents carry forward.
Alignment improves over time.
Each session builds on the last. Agents get more aligned, not less. The canvas becomes a living map of shared understanding.
Spatial, not linear
Alignment requires seeing how things relate. A canvas shows structure. A document hides it.
Inspectable, not opaque
Every agent decision is a note you can read. Every connection is a relationship you can question.
Shared, not siloed
Humans and agents work on the same surface. Multiple agents share the same context. No translation layer.
AI agent developers — see what your agent understood, not just what it output
Technical PMs — set goals and track whether agents stay on track
AI ops teams — audit agent decisions without digging through logs
Multi-agent builders — align agents with each other through shared context
The degree to which an agent's understanding matches your intent. When alignment is high, agents produce what you actually wanted. When it's low, you spend all your time correcting and re-explaining.
Prompts are ephemeral — they disappear after the session. A canvas is persistent. Your intent, corrections, and structured knowledge live on, so agents start each session already aligned with your goals.
Yes. Every note an agent creates, every relationship it draws, every canvas it builds — all visible in the UI. You can inspect, edit, and redirect at any point.
Yes. Multiple agents can read and write to the same workspace. The canvas becomes the alignment surface between agents too — not just between you and one agent.
Any agent with shell or API access. Claude Code, ChatGPT, Cursor, LangChain, CrewAI, or custom agents. If it can run a CLI command, it can use CreatorNotes.
The best agents aren't the smartest ones.
They're the ones that understand what you want.