If you’ve worked on technical systems long enough, you’ve probably seen this happen:
An idea starts clearly in someone’s head.
Then it gets moved into a whiteboard, copied into documentation, broken into tickets, scattered across Slack threads, and partially rebuilt across different AI tools.
At some point, the original logic gets diluted.
The bigger and more technical the workflow, the worse this becomes.
That problem kept bothering me.
Not because there weren’t tools available — there are plenty.
We have diagram tools, documentation platforms, project management software, automation tools, and now dozens of AI products.
But the workflow is fragmented.
You sketch in one place, document somewhere else, manage tasks in another tool, and switch tabs constantly between AI platforms.
So I started building Traycer.
Traycer is a visual orchestration platform for technical teams built around a multi-canvas, multi-model workflow.
With Traycer, you can:
Sketch and model workflows visually across multiple canvases
Work with multiple AI models like GPT, Claude, and Gemini from one environment
Connect your workflows directly to GitHub and Trello
Keep technical logic, execution, and collaboration in sync
Instead of scattered diagrams, disconnected tickets, and fragmented AI chats, Traycer gives teams one place to think, structure, and execute.
The goal isn’t just adding more AI into the workflow.
It’s making complex systems easier to understand, communicate, and build.
We’re still early and actively refining the product, but I decided it was finally time to share what we’ve been building.
Currently in private beta.
Would love to hear thoughts from engineers, PMs, founders, and technical teams building complex systems.
Visit Traycer
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