Set Up Automated Intelligence Agents
As a product leader, you want to set up automated intelligence agents so that you receive proactive insights about scoring trends, anomalies, and competitive shifts without manually checking dashboards every day.What agents do
Agent Studio is Dacard.ai’s interface for managing autonomous AI workflows. Agents run on schedules or triggers, analyze your product data, and produce structured artifacts (reports, alerts, recommendations) that surface in your dashboard.Strategic Intelligence
Analyzes scoring trends, identifies cross-product patterns, and generates strategic recommendations for your portfolio.
Anomaly Detection
Monitors score changes and integration signals for unusual patterns. Alerts you to regressions or unexpected improvements.
Competitive Monitor
Tracks competitor product changes and scoring shifts. Surfaces competitive intelligence in your dashboard.
Coaching Digest
Generates periodic coaching summaries based on your scores. Highlights the highest-impact actions for your current stage.
Set up your first agent
Agent Studio is available on Pro plans and above. Default agents are automatically created when you first visit the Agents page.Navigate to Agents
Open Agents from the main navigation. Your account will be provisioned with default agent definitions on first visit.
Review default agents
Each agent shows its type, description, current status (active or paused), and last run time.
Trigger types
Each agent can be triggered in multiple ways:| Trigger type | Description | Best for |
|---|---|---|
| Schedule | Runs on a recurring schedule (daily, weekly, custom cron) | Regular intelligence digests |
| Event | Fires when a specific event occurs (new score, integration sync, threshold breach) | Real-time alerts on changes |
| Manual | Run on demand from the Agent Studio UI | Ad-hoc analysis before meetings |
Agent artifacts
Every agent run produces structured outputs:- Reports: Markdown-formatted analysis with data and recommendations
- Alerts: Short notifications about anomalies or threshold breaches
- Recommendations: Specific “Do This Next” actions ranked by impact
Viewing artifacts
Navigate to the agent detail page and select the Runs tab. Each run shows timestamp, duration, status, artifact links, and token usage.Recommended agent configurations for leaders
Weekly strategic digest
Weekly strategic digest
Agent type: Strategic Intelligence. Schedule: Weekly (Monday morning). What it produces: Portfolio-level analysis of scoring trends, dimension movements, and priority recommendations for the week.
Score regression alerts
Score regression alerts
Agent type: Anomaly Detection. Trigger: Event (score change > 5 points in either direction). What it produces: Alert with affected dimensions, possible causes, and suggested investigation steps.
Monthly competitive brief
Monthly competitive brief
Agent type: Competitive Monitor. Schedule: Monthly. What it produces: Competitor scoring changes, new capabilities detected, and positioning implications.
Quarterly coaching summary
Quarterly coaching summary
Agent type: Coaching Digest. Schedule: Quarterly. What it produces: Progress assessment, milestone celebrations, and priorities for next quarter.
Monitor agent performance
Track agent effectiveness from the Agent Studio dashboard:| Metric | What it tells you |
|---|---|
| Run history | Timeline of all executions with status |
| Success rate | Percentage of runs that completed without errors |
| Average duration | Typical run time for capacity planning |
| Artifacts generated | Volume of outputs per run |
| Token usage | LLM tokens consumed per run for cost tracking |
Troubleshooting
If an agent run fails:- Check the run detail page for error messages
- Verify connected integrations are still authorized
- Confirm the product being analyzed still exists
- Review your credit balance (agent runs consume credits)
Next steps
Track your portfolio
Agents work best alongside active portfolio monitoring.
Connect integrations
Agents produce richer insights when fed real operational data.
Get coaching
Reference agent artifacts in DAC coaching conversations for deeper analysis.
Agent Studio overview
Full Agent Studio documentation with autonomy levels and action executor.