Agent Team template
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.
One-message setup · 3 specialists · Managed browser · Instant sample
Designed for
AI startups and small businesses that want an operator-style agent for repetitive admin work without handing it unchecked production access
Outcome
Complete approved browser workflows with verified outcomes, screenshots, and auditable decision points.
Say what should be true when the work is done.
Codelit runs one labeled Sample with no account, model, or external App calls.
Review the evidence, then reuse the same brief with your data when it is useful.
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.
tools · resources · roots
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 from the captured UI evidence without replaying the action.
Open it in Codelit and describe the result. Codelit handles common setup while Flow stays available for direct editing and Activity keeps the proof.
Try agentA code-first support agent built around specialist ownership, function tools, MCP resources, guardrails, traces, and eval loops so customer answers can move fast without leaking account state.
An n8n-centered workflow that turns a business automation request into a tested app workflow with conditional logic, human-in-the-loop checks, cost controls, and failed-run repair notes.
A 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.