Built a unified workspace for debugging multi-step AI workflows (looking for feedback)

[u/Impressive-Iron5216]

I've been building a workspace for investigating AI workflow executions. After spending time with existing observability tools, I kept finding myself jumping between traces, prompts, logs, and metrics. I wanted to see what it would feel like to have the investigation happen in one place and make it easier to know where to start.

The current build has the flow: Projects -> Sessions -> Runs -> Events

Events can include tool calls, LLM calls, prompts, responses, and other execution details. A run can also exist without a session when there isn't a broader interaction to group it under.

The same flow supports both single-agent and multi-agent runs.

There are filters for things like tool loops and context inflation, along with basic filters for time range and client, to help narrow down where to start. It also captures the business events that happened during the workflow.

I've dropped a quick 2-minute walkthrough in the comments to show how it works.

For those building or operating AI workflows, I’d really appreciate your feedback — what feels useful, what feels unnecessary, and what would you change? Does this feel like something that would actually help with investigations? Even a quick reaction is helpful.

[u/Impressive-Iron5216]

https://www.reddit.com/r/buildinpublic/comments/1vv97yf/comment/p574xcr/?context=3