Cresec

Skill to internal tool.

Turn the AI routine you keep repeating into a tool your team can use. Fixed steps run as code. AI handles judgment. You keep governance and control.

See a workflow exampleRequest a pilot

Start with a repeatable job. Give it clear inputs, agreed steps and a result people can review.

Keep the skill. Make it repeatable.

  1. Describe the job. Bring a routine you already use in Claude or ChatGPT. Identify its inputs, decisions and expected result.
  2. Put repeatable steps in code. Formatting, calculations and fixed branches follow the same rules each run. AI chooses among declared options where judgment helps.
  3. Review and share. Give teammates a consistent way to run it, with access and permissions you control.

How it works · Read the skill-to-tool guide

Start with a job you recognize.

These worked examples start with text you paste and a result you review. Each guide explains the steps and the permissions a connected version would need.

Triage a support ticket

Take a Zendesk request, choose a category, and flag the next step for a person to review.

Follow the support example

Prepare a weekly Slack update

Use Jira notes to organize completed work, blockers and next steps before copying the update into Slack.

Follow the Jira and Slack example

Use fewer model calls

Decide which steps need AI and which belong in code. Measure tokens and output quality across repeat runs.

Plan and measure token use

Useful to the team. Clear to security.

Code fixes the actions and recipients. An AI decision stays within the tool’s declared choices. People review the result, and new users start on drafts.

See how that changes a prompt-injection attack in the demo. Read the security model for the boundaries, permissions and signed records behind governed calls.

Read the security model · Check a routine in 30 seconds

Compare approaches · The open-source recorder

The systems the routine touches (optional)