Agentic Reasoning
Autonomous AI Investigation
AI agents that formulate hypotheses, execute queries, and synthesize findings.
Recipe Overview & Methodology
Ask high-level questions about your business or operational performance. Clustey's AI agent writes exploratory SQL, runs relevant statistical tests, tests alternative explanations, and produces clear textual conclusions.
Statistical Validation Rules
- Natural language decomposition into multi-step analytic tasks.
- Automated query formulation and sub-second execution on live datasets.
- Rigorous sanity checks: statistical power, p-values, sample size validity.
- Executive synthesis with actionable conclusions and next steps.
Sample Output Metrics
Agent Steps
4 iterations
Multi-hop investigation
Hypotheses Evaluated
3
2 refuted, 1 confirmed
Confidence Level
High (p < 0.01)
Mathematically supported
Actionable Finding
Route B latency spike
Primary bottleneck
Execution LogicClustey Engine
# Clustey Agentic Query Prompt
agent.investigate(
goal="Why did fulfillment latency increase in warehouse #4 during Q3?",
allowed_tests=['t_test', 'segmentation', 'timeline_correlation'],
output_format='notebook_cell'
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