ARAW to GOSM Integration
Overview
Systematic procedure for translating ARAW exploration outputs into GOSM execution inputs.
ARAW = Exploration engine (maps possibility space) GOSM = Execution engine (turns insights into action)
This bridge ensures ARAW findings automatically populate GOSM structures.
Steps
Step 1: Run ARAW synthesis
If multiple ARAW databases exist: python synthesize.py *.db โfind-tensions โextract-actions actions.json
This produces:
- Summary of each database
- Cross-database themes
- Tensions and contradictions
- Consolidated action items (DO_FIRST, DO_SECOND, crux nodes)
Step 2: Extract MUST_VERIFY items
From synthesis output, identify:
MUST_VERIFY (before strategy commitment):
- All crux nodes
- All DO_FIRST actions
- All unresolved tensions
These become GOSM gates that must pass before proceeding.
Step 3: Populate Assumption Register
For each crux node:
assumption: id: [from ARAW] claim: [original claim text] confidence: [ARAW probability estimate] criticality: CRITICAL | HIGH | MEDIUM | LOW validation_method: [how to test] validation_status: UNVALIDATED if_false_action: [contingency] source: ARAW:[database_name]
Step 4: Populate Risk Register
For each claim with probability < 0.7:
risk: id: [generated] description: [claim might be false] probability: [1 - ARAW probability] impact: [from leverage score] mitigation: [if applicable] contingency: [ARAW ASSUME_WRONG branch] source: ARAW:[database_name]
Step 5: Identify Strategy Candidates
From ARAW branches, extract:
- High-leverage ASSUME_RIGHT branches = Strategy candidates
- High-leverage ASSUME_WRONG branches = Alternative approaches
Feed into Strategy Discovery phase.
Step 6: Create Decision Tree Branches
For each ARAW tension:
decision_point: id: [generated] question: [tension summary] option_a: [one side of tension] option_b: [other side of tension] resolution_criteria: [how to decide] current_choice: UNRESOLVED source: ARAW_TENSION
Step 7: Mark High-Confidence Foundations
For themes appearing in 2+ ARAW runs:
foundation: claim: [theme summary] confidence: HIGH (cross-verified) sources: [list of ARAW databases] validation_needed: MINIMAL
These can be treated as near-axioms for planning.
When to Use
- After ARAW exploration on a problem/goal
- Before starting GOSM planning phase
- When ARAW identifies tensions or crux nodes