Reviewers say Trace stands out by turning rough prompts into editable, human-and-AI workflows that match how teams actually work. Users repeatedly praise the clear visual graph, easy handoffs, and ability to step in when automation needs a human, especially for ops, compliance, reporting, and cross-tool processes. Several say it feels more transparent and less rigid than Zapier, Make, n8n, or building in-house. The main complaints are familiar: more integrations, better alerts for failed runs, stronger reporting, smoother onboarding, and more control for debugging, scheduling, APIs, and versioning.
Stormy
@karmedgeΒ Thanks Robert! Let us know if we can help with automatic work at Stormy. Will be glad to help
Trace
@karmedgeΒ appreciate it Robert
Trace
@karmedgeΒ 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!
@robbins23Β thanks Robbin!
Trace
@robbins23Β Thanks Robbin, much appreciated
Trace
Thank you!
Trace
Really appreciate the support!
Trace
Thanks a lot!
I like the βHuman + AI workforceβ 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
@imnikhill10Β thank you, big day for us!
Trace
@imnikhill10Β lets go πΎ
@imnikhill10Β thanks Nikhil, working hard on it!
Trace
Thanks!
Trace
Thanks a lot!
Cal.com
Good luck!
Trace
@richardpoelderlΒ thanks Richard π
@richardpoelderlΒ thanks Richard!
Trace
ThanksΒ
Trace
Thanks a lot!
Trace
We are happy you liked it;)