Experiment
Run the task with an agent in interactive mode and record what happened.
ContactLab brings instructions, sources and rules together into reusable workflows. Your team supplies the inputs for each task, reviews the result and checks the available records.
Experiment → Review → Standardize → Automate. Autonomy is earned with evidence, not granted up front.
Run the task with an agent in interactive mode and record what happened.
A person assesses the result and the evidence of each run.
Define rules, access and limits. Make the workflow reusable with new inputs.
Reduce human intervention when the evidence shows maturity.
Pick a task someone on your team already runs with AI and turn it into a controlled, reviewable and reusable workflow. One well-defined preparation serves new runs of the same work, anywhere in the organization.
Explore the catalog and inputsChoose the task, the allowed sources, the expected output and the person responsible for review.
Prepare the files, systems and tools needed. Choosing the agent is part of configuring the work.
Check the result and the available records. Use the review to adjust the flow before new runs.
Define the goal, prepare the inputs and assess the usefulness of the output.
Define access requirements, data handling and evidence review.
Assess deployment, required resources and the criteria to expand usage.
Claude Code, OpenAI Codex, Qwen Code and Google Antigravity. See what is implemented, what is designed and what depends on the pilot in Capabilities.
See availability and limitsThe pilot brings together one team, one priority flow and a clear business and security question. In 30 days, the team assesses the results to decide whether to expand, adjust or end the initiative.
See the pilot scopeIn the 30-minute meeting, we present a live or previously prepared run in the ContactLab environment. You see the inputs, the result and the available records of the same run. Then we discuss your flow and what the pilot needs to assess.