ia-constraint-design

Agent constraint calibration treats constraints as adjustable cursors on spectrums. You identify the spectrum, assess calibration factors, and resolve competing goals to document chosen positions and rationale for safe trade-offs.

Resolving competing design goals requires a phase-based decision framework. You map constraints to context-aware spectrums, assess calibration factors, and document the chosen positions and rationale to guide safe trade-offs.

Reviewing constraint tightness involves assessing calibration factors across different agent roles and task contexts. You formalize a decision log to document chosen positions and rationale, ensuring appropriate maneuverability for risk profiles.

Yes, spectrum-based decision frameworks are applicable to agent design across different risk profiles. You identify the spectrum, assess calibration factors, and resolve tensions between goals to calibrate constraints effectively.

Avoid spectrum-based constraint calibration when binary constraints are sufficient or when you cannot document a decision log. The framework requires formalizing a phase-based workflow and documenting chosen positions and rationale.