How do you represent uncertainty? I know dependency mapping is a huge problem in GANTT systems when one dependency takes a ton longer than expected. How do you account for that here?
Uncertainty is a tricky one - the current solution is to have decision nodes which can exit to multiple paths. The nice thing pruning and hiding is pretty easy so if you have a public vs private map you can retrospectively show what happened while looking back on what was being analyzed
considering your integration with an mcp for generating ideas, you might like darwin, the tool we built for searching across 350,000 agents and mcp tools; give it a try and let me know what you think: https://darwin.so/docs
How do you represent uncertainty? I know dependency mapping is a huge problem in GANTT systems when one dependency takes a ton longer than expected. How do you account for that here?
Uncertainty is a tricky one - the current solution is to have decision nodes which can exit to multiple paths. The nice thing pruning and hiding is pretty easy so if you have a public vs private map you can retrospectively show what happened while looking back on what was being analyzed
considering your integration with an mcp for generating ideas, you might like darwin, the tool we built for searching across 350,000 agents and mcp tools; give it a try and let me know what you think: https://darwin.so/docs
This is really cool, thanks for sharing! Have you used it for roadmaps other than software/apps?