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A guarded browser operator for internal tools: it can open approved apps, complete repetitive workflows, verify the result, and stop at human approval checkpoints before sensitive writes.
Designed for
AI startups and small businesses that want an operator-style agent for repetitive admin work without handing it unchecked production access
Operating goal
Complete approved browser workflows with verified outcomes, screenshots, and auditable decision points.
4 steps from trigger to verified handoff, with success and failure paths.
1 MCP layer and 4 connected tools with explicit auth and risk levels.
3 guardrails, 3 evals, and 1 harnesses before production use.
Converts a human request into a safe browser action plan.
Reasoning model
Executes approved browser steps and records evidence.
Vision-capable tool-use model
Checks whether the task actually completed.
Structured verification model
Loads the workflow goal, allowed actions, escalation policy, and output contract before the agent plans work.
A computer-use skill for reading UI state, following runbooks, collecting screenshots, and stopping at risky actions.
Centralizes high-risk action checks for writes, secrets, customer data, billing, deploys, and public communications.
Exposes browser navigation, DOM snapshots, screenshots, and read-only app state verification.
Translate the request into ordered browser steps and approval points.
Review the planned browser steps and approve or reject the run.
Execute approved steps and capture evidence.
Confirm the final state through UI and API checks.
Open it in Codelit, refine it with the agent chat, then generate the architecture or product board from the same workflow spec.
Open in Agent WorkflowA controlled workflow for small teams that want an internal agent to answer operational questions, create tickets, inspect connected apps, and prepare approved actions across the company stack.
A research workflow that gathers competitor signals, checks source quality, extracts positioning patterns, and writes briefs that separate facts from interpretation.
A Slack-native engineering agent that receives operational requests, gathers context from tickets and repos, routes work to specialist agents, and drafts auditable responses before anything risky happens.