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README.md

Appendix Pack — Q&A and grading evidence

Prepared for the Agentic AI assignment. Not presented live; carried for Q&A and to cover the brief's "Elite / maximum differentiation" markers (§16). Each file maps to a rubric dimension.

File Rubric dimension it defends Brief §16 marker
why_agent_not_dashboard.md Problem Framing (15) Comparison vs non-agentic alternative
risk_matrix.md Risk Awareness (15) Risk matrix + approval-tier matrix + failure-mode table
evaluation_metrics.md Benefits/Feasibility 3-layer evaluation metrics
qa_cheatsheet.md Clarity & Presentation (20) Per-member Q&A readiness
sequence_diagram.md Agentic Thinking (25) Sequence diagram / agent trace
failure_modes.md Risk Awareness (15) Failure-mode table (FMEA)
confidence_policy.md Agentic Thinking (25) Confidence-threshold policy
audit_log_schema.md Risk / Feasibility Sample audit-log schema
RECORDING.md Demo Golden-run recording steps (you run once)

Already in the repo and counting toward the same goal:

  • docs/tool_catalog.md — Tools & feasibility (15): every tool's spec + fallback.
  • prompts/ — the full 4-type prompt pack (system / task / guardrails / self-eval), live in the runtime.
  • docs/architecture.mmd — architecture diagram (→ Figma for the slide).
  • logs/tos_audit.jsonl — sample agent trace / audit schema (record the golden run).

Still to do for a clean 100 (not code — packaging & delivery)

  • Record the golden run (all 3 paths) → demo plays from replay, zero credits.
  • Build the ~6 slides (Higgsfield + Figma) from the brief §13 outline; architecture.mmd → slide 4.
  • Reframe the tool slide as 5 capability clusters, not 18 tools.
  • Rehearse so every member is fluent on the Universal Q&A.