Documentation Index
Fetch the complete documentation index at: https://docs.dacard.ai/llms.txt
Use this file to discover all available pages before exploring further.
Agents run on a schedule or trigger, analyze your product data, and surface structured artifacts in your dashboard. Available on Pro plans and above. Start with the weekly strategic digest, layer real-time alerts later.
Set up automated intelligence agents
As a leader, you want agents running on a schedule so you receive proactive reads on scoring trajectory, anomalies, and competitive shifts without watching dashboards every day.What agents do
Agent Studio is the surface for managing autonomous 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
Reads scoring trajectory, surfaces cross-product patterns, and surfaces strategic moves for your portfolio.
Anomaly detection
Monitors score moves and adapter signal for unusual patterns. Alerts you to regressions or unexpected lifts.
Competitive monitor
Tracks competitor product changes and scoring moves. Surfaces competitive intelligence in your dashboard.
Coaching digest
Surfaces periodic coaching summaries grounded in your scores. Highlights the highest-impact moves for your current stage.
Set up your first agent
Agent Studio runs on Pro plans and above. Default agents land automatically when you first visit the Agents page.Open Agents
Hit Agents in the main nav. Your account is provisioned with default agent definitions on first visit.
Read default agents
Each agent shows its type, description, current status (active or paused), and last run time.
Trigger types
Each agent supports multiple trigger types.| Trigger | Read | Best for |
|---|---|---|
| Schedule | Recurring schedule (daily, weekly, custom cron) | Regular intelligence digests |
| Event | Fires when a specific event occurs (new score, sync, threshold breach) | Real-time alerts on changes |
| Manual | On-demand from Agent Studio | Ad-hoc reads before meetings |
Agent artifacts
Every agent run produces structured outputs.- Reports: markdown analysis with data and recommendations
- Alerts: short notifications on anomalies or threshold breaches
- Recommendations: specific next moves ranked by projected impact
Reading artifacts
Open the agent detail page and pick 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). Output: portfolio-level read on scoring trajectory, dimension moves, and priority recommendations for the week.
Score regression alerts
Score regression alerts
Agent type: anomaly detection. Trigger: event (score move > 5 points either direction). Output: alert with affected dimensions, possible causes, and investigation steps.
Monthly competitive brief
Monthly competitive brief
Agent type: competitive monitor. Schedule: monthly. Output: competitor scoring moves, new capability detected, positioning implications.
Quarterly coaching summary
Quarterly coaching summary
Agent type: coaching digest. Schedule: quarterly. Output: progress read, milestone celebrations, priorities for next quarter.
Monitor agent performance
Track agent effectiveness from the Agent Studio dashboard.| Metric | Read |
|---|---|
| Run history | Timeline of all executions with status |
| Success rate | Percentage of runs that completed without error |
| Average duration | Typical run time for capacity planning |
| Artifacts generated | Volume of outputs per run |
| Token usage | Tokens consumed per run for cost tracking |
Troubleshooting
If an agent run fails:- Check the run detail page for error messages
- Verify connected adapters are still authorized
- Confirm the product being analyzed still exists
- Read your credit balance (agent runs consume credits)
What’s next
Track your portfolio
Agents work best alongside active portfolio monitoring.
Connect adapters
Agents produce sharper reads when fed live operational data.
Coach with DAC
Reference agent artifacts in DAC conversations for deeper analysis.
Agent Studio overview
Full Agent Studio docs with autonomy levels and action executor.