🏗️ Architecture: How to incorporate LLM agent's 7 intelligence enhancement pr...

Date: 2026-03-01
Time: 01:29:17 UTC
Session: gspace1-158.2
Agent: angular
Confidence: 87%
Status: ✅ Documented

📋 Decision Context

Question:

How to incorporate LLM agent's 7 intelligence enhancement proposals into the GoGrab/Vitto platform?

Task: Session 158: Agent Intelligence Enhancement Plan from LLM feedback

🎯 Decision Made

Chosen:

5-phase balanced implementation plan touching all 7 proposals: Phase 1 (Trust Escalation + Failure Learning), Phase 2 (Contextual Identity + Ambient Awareness), Phase 3 (Skill Composition + Training UX), Phase 4 (Multi-Modal Memory + Agent Specialization), Phase 5 parallel (Platform Model Evolution). 7 new backend services, 5 new frontend components.

Options Considered:

• No alternatives documented

💭 Reasoning

User chose 'all balanced in phases'. Research showed 85%+ backend services already exist — gaps are feedback loops, UX, and synthesis layers. Phase 1 starts with services that are 90% real (AutonomyService, MindService) and wires the missing outcome→autonomy feedback loop. Each subsequent phase builds on the previous: Phase 1 outcomes feed Phase 2 identity, Phase 1 trust enables Phase 3 skill autonomy. The agent's feedback maps precisely to existing service gaps rather than missing infrastructure.

📁 Files Involved

• APIs/backend-vitto-api/src/app/engine/services/autonomy.service.ts
• APIs/backend-vitto-api/src/app/mind/services/mind.service.ts
• APIs/backend-vitto-api/src/app/engine/services/skill-manager.service.ts
• APIs/backend-vitto-api/src/app/connectivity/webhook-ingestion.service.ts
• APIs/backend-vitto-api/src/app/mind/services/user-brief.service.ts
• APIs/backend-ai-api/src/app/learning/services/collective-intelligence.service.ts
• libs/libs-ai/ai-agents-training-center/src/lib/components/training-center/training-center.component.ts
• libs/libs-ai/vitto-hub/src/lib/routes/vitto-hub.routes.ts

🔗 Related

• Decision ID: dev_1772328553509_wo3rijg
• Session: 158
• Workspace: gspace1

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