Artifacts
Artifacts capture AI discoveries, insights, reports, and decisions during task execution - building a searchable knowledge base for your team.
Artifacts: Capturing AI Discoveries
Artifacts are documents created by your AI assistant during task execution to capture important discoveries, insights, reports, challenges, questions, and decisions.
Think of artifacts as the AI's way of taking notes about what it learned while working on your task.
Why Artifacts Matter
As your AI works through tasks, it discovers valuable information that goes beyond just completing the task. Artifacts preserve this knowledge so you can:
- Learn from the AI: Understand what it discovered and why
- Build Knowledge: Create a searchable repository of insights
- Make Decisions: Review documented options and recommendations
- Track Progress: See how challenges were overcome
- Share Insights: Distribute findings across your team
Types of Artifacts
💡 Insights
Document important discoveries or learnings uncovered during task execution.
Examples:
- Customers who abandoned carts are 3x more likely to convert when sent a reminder within 2 hours
- Your most successful emails have subject lines under 40 characters
- Weekend campaigns generate 40% higher open rates for this audience
Contains:
- The insight itself
- Supporting data or evidence
- Implications for your business
- Recommended actions
📊 Reports
Present structured analysis and data summaries compiled by the AI.
Examples:
- Campaign performance comparison across quarters
- Customer segment analysis with demographics
- Email template usage statistics
Contains:
- Data tables and visualizations
- Key metrics and KPIs
- Trend analysis
- Summary conclusions
⚠️ Challenges
Document obstacles, blockers, or limitations encountered during execution.
Examples:
- Data source connection intermittent - implemented retry logic
- Customer email list has 15% invalid addresses - created filter
- Journey automation limit reached - simplified workflow
Contains:
- Description of the challenge
- Impact on the task
- Workaround or solution applied
- Future recommendations
❓ Questions
Flag decisions that need human input or clarification.
Examples:
- Should this campaign exclude recent purchasers or include everyone?
- Multiple brand kit templates found - which is preferred for this campaign?
- Data shows conflicting customer preferences - how should we prioritize?
Contains:
- The question being asked
- Context and background
- Available options
- Implications of each choice
🎯 Decisions
Document key decisions made during task execution.
Examples:
- Chose email over SMS for initial outreach based on higher engagement rates
- Selected segmentation based on purchase history vs. browsing behavior
- Implemented gradual rollout instead of immediate launch to test performance
Contains:
- The decision made
- Rationale and reasoning
- Alternatives considered
- Expected outcomes
Artifact Components
Every artifact includes:
Category Badge
Visual indicator of artifact type (Insight, Report, Challenge, Question, Decision)
Title & Summary
Clear, descriptive name with 1-2 sentence overview of key information
Detailed Content
Full information, analysis, or data with optional visualizations
Metadata
Created date/time, associated task, related platforms, priority level, and tags
Working with Artifacts
Artifact Visualizations
Artifacts can include rich visualizations to make data immediately understandable:
- Bar charts: Compare metrics across categories
- Line charts: Show trends over time
- Pie charts: Display proportions and percentages
- Structured data display
- Sortable columns
- Filterable rows
- Large, prominent numbers
- Comparison to benchmarks
- Trend indicators (up/down)
- Important warnings and success indicators
Building Your Knowledge Base
Maximize Value
As you complete tasks, artifacts accumulate into a valuable knowledge base for your entire organization.
Pattern Recognition
Identify successful approaches, spot common challenges, and learn what works best
Team Learning
Share insights across organization, build on each other's discoveries, and create organizational memory
Decision Support
Reference past decisions, learn from outcomes, and make data-informed choices
Automatic Documentation
No manual note-taking required - always searchable and accessible
Best Practices
Act on Artifacts
Don't just complete tasks - review what was learned and respond to questions promptly.
Review Regularly
- High-priority artifacts deserve immediate attention
- Question artifacts may need your response
- Review findings to improve future tasks
Share Insights
- Export and share valuable insights with team
- Use artifacts in presentations and reports
- Build institutional knowledge
Address Challenges
- Update processes based on learnings
- Prevent future issues
- Document workarounds for team reference
Tag and Organize
- Add custom tags for your organization
- Create meaningful categories
- Build searchable knowledge structure
Privacy & Security
Artifacts respect your data governance:
Access Control
Only visible to authorized users
Compliance
Follow same rules as underlying data
Retention
Configurable retention policies
Audit
Track who viewed or exported artifacts
Tips & Tricks
- Answer Questions Promptly: Guidance improves future AI performance and builds better outcomes over time
- Link Related Artifacts: Connect artifacts across tasks to build knowledge graphs and see relationships
- Track Analytics: Measure which types are most valuable and optimize AI learning
- Use Templates: Define what information to capture and ensure consistency across team