Uncertainty Planning
Master uncertainty planning to build robust agents that thrive in unpredictable environments
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Having a plan—even with contingencies—isn't enough. You must continuously monitor whether reality matches your assumptions. When it doesn't, adapt quickly before small problems become catastrophic failures.
The Adaptive Execution Loop
Monitor actual results vs expected outcomes
Identify divergence between plan and reality
Determine if adjustment or replan is needed
Execute contingency or create new plan
Critical insight: This loop runs continuously during execution. The faster you cycle through it, the more adaptive your system becomes.
Interactive: Monitoring Effectiveness
Adjust monitoring frequency to see impact on situational awareness
Impact:
Some visibility - may miss rapid changes
When to Replan vs Adjust
Not all divergence requires replanning. Learn to distinguish between minor adjustments and fundamental replans.
Reasoning:
Minor variance - within acceptable tolerance
Adaptive Execution Best Practices
📍Set Clear Checkpoints
Define specific milestones where you'll pause and evaluate. "After step 3, check if X condition still holds."
📈Track Key Metrics
Monitor quantifiable signals that indicate plan health. Time spent, resources used, success rate, error frequency.
🎯Define Trigger Conditions
Specify exact conditions that trigger replanning: "If error rate > 10% for 5 minutes, switch to backup API."
💾Log and Learn
Record what went wrong and why you adapted. Build institutional memory so future plans account for past surprises.