CUSTOM AI AGENTS · Product & engineering
Release assistantas part of your team.
Collect changes. Prepare release notes. Flag incomplete prerequisites.
Explore this agent for my team ↗01 · THE WORK, STEP BY STEP
How the task moves forward.
Agents work with project context, conventions and acceptance criteria. They prepare code, tests or documentation for the team's existing workflow.
- 01
Collect changes
Collects approved changes and separates those still awaiting review.
- 02
Prepare release notes
Drafts clear notes for users or internal teams as appropriate.
- 03
Flag incomplete prerequisites
Flags documents, approvals or dependencies missing before publication.
02 · ILLUSTRATIVE EXAMPLE
A situation that may feel familiar.
A company coordinates documentation and support before a new version.
Illustrative scenario, not a customer case study or measured results.
Read about the scope of the assignment at the team's channel.
Use one route consistent with the trace and example implementation.
Export contract
| Element | Documented behavior |
|---|---|
| Route | GET /api/orders/export |
| Permission | orders:export |
| Account | Retrieved from the session |
| Filter | only orders paid |
| Response | CSV: date, client and total |
| Access denied | HTTP 403 |
Document the request and output with fictional data and an explanation of the error.
Export paid orders · Draft
Request
GET /api/orders/export Requires a session and orders:export permission. The account comes from the session; the request cannot select a different account.
Examples CSV · Fictitious data
fecha,cliente,total 2026-10-01,Cliente de ejemplo,29.00
If you get a 403
Ask the owner to check the export permission and account access. Do not change identifiers to try to access another account.
Keep the document in its workspace rather than creating an unnecessary PDF.
- Document
- Export guide
- Status
- Draft · Awaiting technical review
- Examples
- Request, CSV and HTTP 403
Share the result and distinguish prepared work from executed work.
03 · YOUR WAY OF WORKING
Fits the business you already have.
Context and tools
We start with your current documents, systems and channels. We assess feasible connections and define the permissions required for this specific task.
Improves with your feedback
Approved corrections are incorporated into instructions, examples or knowledge sources. We review changes before expanding the agent’s scope.
A clear way to evaluate
We agree on a representative sample and measure review time, errors, exceptions and output quality against the current workflow. Feasibility is decided using that evidence.
04 · COMMON QUESTIONS
Before getting started.
What information does this agent need?
Approved changes, checklist and release calendar. We review quality, currency and access before connecting the workflow. You do not need to replace all your tools to begin.
What will my team receive?
Release package for approval. We agree on the format and delivery channel during setup, together with cases that need review.
Which decisions remain with people?
The team retains approval over changes, merges and deployments.
Can it coordinate with other agents?
Yes. We define what this agent hands to the next one and who handles exceptions. It can interact through Slack, WhatsApp, email or Microsoft Teams, depending on the integration and permissions we configure.
RELATED AGENTS
A team that works together.
Developer agent
Reviewable change before integration or deployment.
See tasks and example ↗Product & engineeringCode reviewer
Code review with justified observations.
See tasks and example ↗Product & engineeringBug triage assistant
Structured issue and technical context.
See tasks and example ↗START WITH ONE TASK
How would this fit your business?
Tell us how you do it today. We will define the scope, tools and controls with you.