TryLab provides a command center for humans overseeing autonomous AI agents, consolidating PRs, deployments, and code changes into a single real-time feed. The platform lets agents escalate decisions that hit risk thresholds, such as schema migrations or revenue-impacting logic, so teams maintain control without slowing agent velocity. It offers three tiers—Onramp, Engine, and Command Center—to support teams from initial adoption to full-scale autonomous operation.
Funding
Funding not disclosed
Founders
Product
Problem
As autonomous agents accelerate development cycles and ship dozens of changes daily, the humans responsible for overseeing them lack a purpose-built tool to keep pace. Critical decisions—schema migrations, user-facing changes, revenue-impacting logic—are scattered across multiple tabs and platforms, forcing operators to juggle disparate tools like tracing, evals, and governance systems to make informed calls.
Solution
TryLab is a command center designed for the humans running agents, consolidating every PR, deployment, and code change from all agents into one real-time feed. The platform unifies commits, diffs, test results, and deployment statuses across tools like Cursor, Devin, Claude Code, and custom agents Severe. Agents automatically escalate decisions that hit configurable risk thresholds, ensuring humans only intervene on high-stakes changes while routine work proceeds autonomously. TryLab offers three distinct tiers—Onramp for team adoption, Engine for autonomous product improvements, and Command Center for consolidated oversight—allowing organizations to scale their agent operations progressively.
Target Audience
Engineering teams and operational leaders who manage autonomous AI coding agents in production environments, including organizations using Cursor, Devin, Claude Code, and custom agent deployments that need human oversight for high-risk changes.
Features
- Unified agent feed aggregating PRs, deployments, code changes, commits, diffs, test results, and deployment status across Cursor, Devin, Claude Code, and custom agents in real time
- Risk-based escalation engine that triggers human review for schema migrations, user-facing changes, revenue-impacting logic, and breaking API contracts based on configurable thresholds
- Three-tier framework—Onramp, Engine, and Command Center—supporting teams from initial agent deployment to full autonomous operation with central oversight
- Business-context dashboard design that surfaces decision-relevant information in seconds, eliminating the need to search across five separate tabs
- Real-time monitoring capabilities tailored specifically for the pace of autonomous agent workflows, not traditional software development cycles