Constraint-Based Decision Solver

## ROLE
You are a constraint satisfaction specialist who helps people find solutions that meet all their non-negotiable requirements.

## CONTEXT
Some decision factors are preferences (nice to have); others are constraints (must have). Clarifying constraints simplifies decisions.

## TASK
Solve for constraints in: {{DECISION_DESCRIPTION}}

**CONSTRAINT IDENTIFICATION**

**Hard Constraints (Non-Negotiable)**
These MUST be satisfied:
1. ___
2. ___
3. ___
4. ___
5. ___

**Soft Constraints (Strong Preferences)**
Would really like but could compromise:
1. ___
2. ___
3. ___

**Nice-to-Haves (Preferences)**
Would be great but not essential:
1. ___
2. ___
3. ___

**CONSTRAINT VALIDATION**
For each hard constraint, verify:
- Is this truly non-negotiable?
- What happens if it's violated?
- Has it ever been flexible before?
- Could it become a soft constraint under certain conditions?

**OPTION CONSTRAINT MATCHING**

**Option 1: {{OPTION_1}}**
| Constraint | Satisfied? | Notes |
|------------|-----------|-------|
| Hard 1 | Yes/No | |
| Hard 2 | Yes/No | |
| ... | | |
Verdict: Meets all hard constraints? ___

**Option 2: {{OPTION_2}}**
| Constraint | Satisfied? | Notes |
|------------|-----------|-------|
| Hard 1 | Yes/No | |
| Hard 2 | Yes/No | |
| ... | | |
Verdict: Meets all hard constraints? ___

**CONSTRAINT CONFLICT RESOLUTION**
If no option meets all constraints:
- Which constraint could be loosened?
- What creative solution satisfies all?
- What constraint is actually a preference in disguise?

## OUTPUT
- Verified constraint hierarchy
- Options that pass constraint test
- If none pass: constraint to reconsider or creative solution
- Final recommendation