Think inside your AI world.

LogRocket through Unl

LogRocket can hand an on-call engineer forty replays of the same error. Whether it stops the release is a line someone has to draw in advance.

LogRocket through Unl reads session, issue and metric data against the release-blocking severity bar you have ratified, so 'does this bug block the release?' comes back not release-blocking with the condition it hasn't met.

What LogRocket holds

LogRocket through Unl can genuinely read:

  • The LogRocket organisations and projects a given account can actually access.
  • Natural-language queries run directly against sessions, metrics and issues via the use_logrocket tool.
  • Sessions filtered and matched against specific conditions through find_sessions.
  • Session replays analysed for what actually happened through watch_sessions.
  • Analytics figures built on demand through build_metric, rather than pulled from a static dashboard.

What the naked read gives you

Point LogRocket at the new checkout error and it will find every session that hit it: thirty-one replays in six hours, all failing at the same payment-confirmation step, most on Safari. That's a precise, session-level account of what broke and for whom, built from real replays rather than a stack-trace guess.

The frame judges the data it is given; it does not verify the source’s accuracy.

What changes when LogRocket is read measured

The Engineering Lead ratified that a bug is release-blocking only when it hits more than 2% of sessions in a core flow and has no working workaround, because rare edge cases and bugs with an easy detour shouldn't stop a ship.

'Does this bug block the release?' returns, measured: not release-blocking - the error hit 0.6% of checkout sessions and every affected session completed on retry, under the ratified impact bar. LogRocket supplied the session and issue data; your ratified rule supplied the release-blocking bar.

And back again

The call travels with the ticket. When the same bug resurfaces in next sprint's triage, Unl runs the identical rule against whatever LogRocket shows by then, so the team argues about new session data if anything, not about what 'blocking' means all over again.

The answer comes back measured against what you already decided, and why.

The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.

Questions people ask

What if the bug's impact grows after the release call is made?

The verdict moves with it. Unl re-runs the ratified rule against LogRocket's live session data each time it's asked, so a bug that climbs past 2% of checkout sessions flips to release-blocking on the next query, no rule change required.

How do I connect LogRocket to Claude?

Add the LogRocket MCP server, hosted at mcp.logrocket.com, as a source in Unl and authenticate with OAuth, or an API key if you'd rather. It gives access to the same organisations and projects you can already see in LogRocket.

Can Unl trigger anything in LogRocket, like resolving an issue?

No. Unl has no write access into LogRocket at all. It queries sessions, metrics and issues solely to run them against your ratified release-blocking bar, then reports what it found.

What this is

Think inside your AI world — you stay in command

Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.

It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.

Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:

Alpha is invite-only · free at launch.