Problem-oriented guides for common case management scenarios.
Solution:
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"What does success look like when this case completes?"
Example: "Comparative ML framework analysis with deployment recommendation"
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case:
desired_outcome: "Your outcome here"
template: research_case_pattern
owner: your-id
members: [human-001, ai-specialist-g3]
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sea case create --config case-config.yaml
Solution:
Entry Sentry Example:
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sentry:
type: entry
stage: analysis
conditions:
- data_collected: true
- quality_score: >= 0.8
- peer_review: passed
logic: AND # All conditions must be true
Exit Sentry Example:
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sentry:
type: exit
stage: analysis
conditions:
- findings_documented: true
- statistical_significance: >= 0.95
- stakeholder_review: approved
logic: AND
Discretionary Task Activation:
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sentry:
type: task_activation
task: additional_data_collection
conditions:
- sample_size: < 100
- confidence_interval: > 0.1
logic: OR # Any condition triggers
Solution:
Step 1: Identify Current Stage
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sea artifact show art-hypothesis-doc
# Output: Stage: Cognitive
Step 2: Check Transition Requirements
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Cognitive → Intellectual requires:
- Synthesis task complete
- Quality review passed
- TransitionToken generated
Step 3: Execute Transition
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sea artifact synthesize art-hypothesis-doc --to intellectual
# Generates: tt-synthesis-001
# Creates: Intellectual Artifact
Step 4: Verify Lineage
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sea artifact lineage art-hypothesis-doc
# Shows: Cognitive → Intellectual (tt-synthesis-001)
Solution:
Step 1: Define Assignment Rules
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pm_agent:
assignment_rules:
- rule: capability_match
priority: 1
logic: "Match task requirements to member capabilities"
- rule: workload_balance
priority: 2
logic: "Distribute tasks evenly across members"
- rule: authority_check
priority: 3
logic: "Verify SDS-031 privileged action rules"
Step 2: Configure Knowledge Base
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pm_agent:
knowledge_base:
context: ml-frameworks-evaluation
sources:
- domain_concepts
- past_cases
- member_profiles
Step 3: Set Sentry Evaluation
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pm_agent:
sentry_evaluation:
frequency: on_task_complete
auto_activate: true
log_decisions: true
Step 4: Apply Configuration
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sea pm-agent config --file pm-agent-config.yaml
Solution:
Suspend Case:
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sea case suspend case-research-001 --reason "Awaiting external data"
Effects:
Resume Case:
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sea case resume case-research-001
Effects:
Solution:
Define Discretionary Task:
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task:
id: task-additional-analysis
type: discretionary
activation_sentry:
conditions:
- initial_results: inconclusive
- confidence: < 0.8
assignee: auto # PM-Agent assigns
PM-Agent Evaluation:
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1. Monitor sentry conditions
2. When conditions satisfied:
- Activate task
- Assign to qualified member
- Log activation to IFL
Manual Activation (Override):
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sea task activate task-additional-analysis --reason "Stakeholder request"
# Logged as manual override
Solution:
Step 1: Identify Capital Candidate
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Criteria:
- Reusable across projects
- Proven methodology
- Generalizable knowledge
Step 2: Prepare for Capitalization
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# Verify artifact is Information Product
sea artifact show art-methodology
# Check Exchange Rate Policy
sea capital policy show
# Example: 40 hours work → $8,000 capital value
Step 3: Request Approval (SovereignGate)
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sea artifact capitalize art-methodology --approver human-sovereign
# Requires: SignatureToken from human approver
Step 4: Complete Capitalization
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Upon approval:
- Artifact promoted to Capital stage
- TransitionToken generated
- Capital value assigned
- Added to organizational knowledge base
Diagnosis:
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sea sentry debug sentry-analysis-entry
# Shows: Which conditions failed
Solution:
Diagnosis:
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sea pm-agent logs --case case-research-001
# Shows: Assignment decision log
Solution:
Diagnosis:
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sea artifact lineage art-product-001
# Shows: Missing TransitionToken
Solution:
| Last Updated: January 2026 | Version: 1.0.0 |