AI CLASSIFIER

AI System Behavior & Architecture Classifier

System Properties & Execution Bounds

r/vectordatabase Schema
Persistent Memory & State
Does the workflow preserve goal context, vector memories, or scratchpad across calls?
External Tool & API Permissions
Can the model autonomously invoke shell scripts, write DB records, or trigger webhooks?
Human-in-the-Loop Approval Gate
Requires human authorization before executing external write or destructive actions.
Iterative Verification & Rollback Loop
Repeatedly checks execution results against objectives and retries/reverses failures.
Source Heuristic (Otherwise_Wave9374): "Traditional AI predicts or classifies, generative AI produces new content, and agentic AI repeatedly observes state, chooses tools, acts, and checks results toward a goal... ask whether it has persistent state, what actions it can take, who approves side effects, and how failures are detected and reversed."

Behavioral Tier & Governance Matrix

Calculated Live
Architectural Tier
Agentic AI
Active Observation Loop
Behavioral Autonomy Score
94
Scale: 0 (Static) – 100 (Autonomous)
Operational Risk Profile High (Unrestricted Actions)
Enforce mandatory human-in-the-loop approval gates for external write side-effects.
Core Vector Property State Behavioral Contribution
Persistent State Active (+25) Multi-turn context & memory graph
Tool Execution Active (+35) Autonomous side-effect capability
Verification Loop Active (+34) Observe-Act-Check feedback loop
Human Gate Approval Bypassed (0) Safeguard against unvetted mutation
Behavioral Taxonomy:
  • Traditional AI: Stateless prediction, tabular classification, or scoring.
  • Generative AI: Synthesizes new artifacts (text/images) from prompt input.
  • Agentic AI: Repeatedly observes state, chooses tools, acts, and checks results.
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