Reviewers mostly say Trace is useful because it turns rough prompts into workable, editable workflows and makes clear which steps should stay with humans versus AI. Users repeatedly praise the visual graph, control during execution, and fast setup with tools like Slack, Notion, Jira, and CRM-style processes, especially for ops, compliance, and internal automation. Makers of
STORI and
Jupitrr AI echo that flexibility for multi-step work. The main complaints are shallow integrations, weak notifications for failed runs, limited debugging, and a need for better onboarding, scheduling, APIs, and version control.
Lovable
Looks great ! Looking forward to testing it !
Trace
@stephane_boghossian Thanks! Excited to hear how it works for you.
Trace
We can’t wait to see what you think!
Awesome!
Trace
Thanks a lot, Stephane!
Trace
We are happy you liked it;)
Stormy
@karmedge Thanks Robert! Let us know if we can help with automatic work at Stormy. Will be glad to help
Trace
@karmedge appreciate it Robert
Trace
@karmedge thanks Robert, doing our best!
Trace
Thank you, we're glad you like it!
Trace
Thanks a lot!
Seems like a great tool. Congrats on launch!
@robbins23 thanks Robbin!
Trace
@robbins23 Thanks Robbin, much appreciated
Trace
Thank you!
Trace
Really appreciate the support!
Trace
Thanks a lot!
I like the “Human + AI workforce” framing here because it acknowledges that most enterprise workflows still need coordination and approvals. Curious how task recovery and escalation are handled when an agent fails midway through a long-running workflow.
Love the 'route to the right agent' framing. The hard part is governance: do you support audit trails + approvals (human checkpoints) so agents can propose actions in Slack/Jira/Notion but not silently execute without review?
How does Trace handle data security boundaries when agents pull context across these different tools?
Trace
@imnikhill10 thank you, big day for us!
Trace
@imnikhill10 lets go 🍾
@imnikhill10 thanks Nikhil, working hard on it!
Trace
Thanks!
Trace
Thanks a lot!