Chronicle Labs

Chronicle Labs is a staging environment for enterprise AI agents, built so teams can catch failures before they reach customers. Founded by Ayman Saleh as part of Y Combinator's P26 batch, the product connects to an agent in production, captures every webhook, API call, and data source it touches, then uses that telemetry to rebuild a copy of the live environment where new agent versions can be replayed against real history. The pitch is that customers can safely test new behaviors without breaking anything , with the trading desk analogy of backtesting algorithms before deploying capital. The timing reflects a gap in the agent stack. Enterprises are pushing agents into customer-facing workflows but lack a deterministic way to validate behavior across constantly shifting integrations and policies. Chronicle's approach is to capture real events from Intercom and other sources and replay them for training and evaluation , pulling webhooks from tools like Front, Slack, Stripe, HubSpot, and Zendesk through a Pipedream-backed integration layer that avoids custom glue code. From there, teams can filter timelines, inject edge cases into scenarios, and run a reviewer called Conductor AI that scores each agent action against full event context and flags drift across a fleet of agents. The early customer logos lean toward high-volume support and telehealth operations, including Nurx, Thirty Madison, Keeps, Remedy Meds, and Red Cat, suggesting the wedge is companies already running agents at scale who need labeled training data and a repeatable test harness rather than another framework that asks them to hand-write scenarios. For founders shipping agents into regulated or revenue-critical workflows, the launch is worth a look as an alternative to building this telemetry and replay infrastructure in-house.