13 published lessons with this tag.
Lazy or inconsistent categorization creates a growing mess that eventually must be cleaned up.
Knowing a schema is wrong but not updating it creates a growing liability.
Do not wait for failure to update schemas — regularly review and refine them.
An idea connected to nothing else is either missing links or not worth keeping.
Periodically review and clean your graph — remove dead links and add missing connections.
Regularly review your triggers to ensure they are still relevant and well-calibrated.
Agents degrade over time unless actively maintained — monitoring catches drift before it becomes failure.
Every agent is created, deployed, maintained, and eventually retired.
Agents need regular maintenance — scheduled reviews prevent gradual degradation.
Sometimes you should improve an existing agent; sometimes you should replace it entirely.
Periodically review and rebalance your agent portfolio — retire underperformers, invest in high-value agents.
Some agents outlive their usefulness but persist because removing them feels risky or costly. Legacy agents consume resources, create confusion, and block the deployment of better alternatives. Identifying them is the first step toward a clean epistemic portfolio.
Documentation should evolve with the agent — outdated docs are worse than no docs.