.dinoai/agents/<name>.yml on your default branch. Start from scratch or from a template.
Prerequisites
- Access to the Agent app in your Paradime workspace.
- A connected git repository if you want to deploy the agent as code through a pull request.
Steps
1
Start a new agent
In the Agent app, open Agents and select New. Pick a template to prefill the agent’s identity, or choose Start from scratch. Templates are grouped by outcome: Reliability, Quality, Cost, Code review, Documentation, and Analytics.
2
Define its identity
Under Identity, set what the agent is and what it is for. These are what the model reads before anything else.
- Name: becomes the filename under
.dinoai/agents/and how you invoke the agent. - Role: who the agent is (for example, “Analytics engineer reviewing revenue models”).
- Goal: what it should achieve.
- Backstory: context it carries into every run, such as conventions and what to be careful with.
3
Choose the model
Under Model, leave Auto selected so Paradime picks the best model for each task.
4
Set its tools
Under Tools, choose which tools the agent may use:
- Allowed tools: only these, everything else is refused.
- Denied tools: everything the workspace allows, except these.
5
Set output and squad (optional)
- Output: a Slack channel the agent posts results to. Leave it empty and the agent replies wherever it was invoked.
- Squad: other agents this one can delegate to. Each sub-agent runs in its own session and reports back.
6
Deploy the agent
Select Deploy and choose where the agent lives:
- Just here: saved to this workspace and live straight away, with no file in your repo. Ideal for iterating quickly.
- Open a pull request: Paradime commits
.dinoai/agents/<name>.ymlto a branch and opens a pull request against your default branch. Merge it to make the agent available, version-controlled alongside the rest of your project.
The agent appears in the agent list and in the Agent name dropdown when you add a Run Paradime DinoAI Agent command in Bolt: immediately for a Just here deploy, or once the pull request merges for an as-code deploy (from then on you can also edit the YAML directly).
Next steps
Run an agent with Bolt
Schedule the agent to run on cron, on merge, or after a job.
Programmable Agents reference
The YAML the builder writes, tools, and the API.