# SESSION TRACKER -- 2026-02-13 (Session 003)

## META
- session_id: 003
- date: 2026-02-13
- timestamp_utc: 2026-02-13T21:15:00Z
- phase: Pre-Phase 0 (Prompt Orchestration Protocol Evolution)
- status: COMPLETE -- masterclass prompt v3.0 produced (complete revamp)
- previous_session: docs/tracker/2026-02-13_2030_session-002.md

## QUICK RESUME
**Read this file to pick up exactly where we left off.**
If starting a new session, tell the agent: "Read the latest file in docs/tracker/ and resume."

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## WHAT WE ACCOMPLISHED THIS SESSION

### Research: Multi-Agent Orchestration & Advanced Prompt Engineering (Feb 2026)
Launched 4 parallel research agents covering:

1. **Multi-agent orchestration patterns** -- Anthropic's orchestrator-worker (90% improvement vs single-agent), LangGraph StateGraph, CrewAI, AutoGen, OpenAI Swarm handoff protocols, OrchDAG (DAG task orchestration with graph rewards), FLASH-SEARCHER (67.7% BrowseComp, 35% fewer steps), HAWK hierarchical framework
2. **Advanced prompt engineering** -- Mega-prompts → pipelines → agent teams evolution, Adaptive Graph of Thoughts (AGoT, 46% improvement), ADOPT dependency-aware optimization, prompt chaining (Extract→Plan→Produce→Evaluate), GOLDEN framework, context-as-operating-system paradigm, StateLM
3. **DAG workflow orchestration** -- Plan-then-execute vs interleaved (hybrid wins), AgentFlow (14.9% gains), LangGraph checkpointing, Prefect ControlFlow, quality gates (SonarQube, EvalGate, Multi-Agent Reflexion, VIGIL), state machines for agent workflows
4. **Best prompt templates** -- GitHub Spec Kit (70k stars, 5-phase spec-driven dev with [P] parallel markers), BMAD Method (21 agents, 50+ workflows), Claude Code /init bootstrap, Traycer (Plan→Phase→YOLO→Review modes), Anthropic's own guidance (spawn 3-5 parallel subagents, scale effort with complexity)

### Prompt Complete Revamp: v2 (12 phases) → v3 (8-layer DAG orchestration protocol)

| Dimension | v2 | v3 |
|-----------|-----|-----|
| Structure | 12 sequential phases | 8 Layers as a DAG with parallel lanes |
| Orchestration | None (flat instructions) | Explicit orchestrator-worker with subagent delegation directives |
| Parallelism | Implied in dependency map | Explicit `[P]` markers on every parallelizable phase |
| Quality gates | None | 6 quality gates with specific self-evaluation questions |
| Human checkpoints | 1 (after requirements) | 2 (after requirements + after full ecosystem) |
| Dependency awareness | ASCII diagram (informational) | Full ASCII DAG (actionable, shows parallel lanes) |
| Output contracts | Implicit | Explicit per-phase: file path, format, input, output, subagent directive |
| Self-evaluation | None | Every quality gate has numbered verification questions |
| Agent delegation | None | Per-phase directives: "Launch subagent", "Run in parallel", effort scaling rules |
| Context budget | Mentioned once | Enforced: <500 lines per rule, progressive disclosure, .cursorignore |

### Key Architectural Decisions in v3
- **DAG over linear**: Research shows 35% fewer wasted steps (FLASH-SEARCHER, ICLR 2026)
- **Quality gates over trust**: Multi-Agent Reflexion shows separate evaluator catches what generator misses (arXiv 2512.20845)
- **Parallel execution**: Anthropic data: 3-5 parallel subagents optimal; 90% improvement over single-agent
- **2 checkpoints not 1**: Human validates at start (requirements right?) AND end (ecosystem coherent?) -- "plan gate" and "acceptance gate"
- **Effort scaling**: Simple ideas compress layers; complex ideas expand -- not one-size-fits-all
- **Source tracing**: Every backlog item has a `Source` field back to a requirement, KB doc, ADR, or gap finding -- no orphan work

### Files Modified
| File | Change |
|------|--------|
| `docs/prompts/masterclass-project-kickoff.md` | Complete revamp: v2 → v3 DAG orchestration protocol |
| `.cursor/rules/project-context.mdc` | Updated REUSABLE ASSETS for v3.0 |
| `docs/tracker/2026-02-13_2115_session-003.md` | This file (new) |

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## WHAT IS NEEDED NEXT

### Immediate (Brendon Action Required)
1. **Set up Zoho Mail** -- Still pending from Session 001. Follow `docs/guides/email-setup-steps.md`
2. **Review v3 prompt** -- Read `docs/prompts/masterclass-project-kickoff.md` to confirm it matches the vision

### Engineering (Next Session)
1. **Phase 0 execution** -- Initialize GitHub repo per `docs/knowledge-base/github-masterclass.md` (SEC-011)
2. **CI/CD pipeline** -- Set up GitHub Actions per github-masterclass.md (SEC-012)
3. **Backlog migration** -- Convert docs/backlog/ items to GitHub Issues

---

## KEY DECISIONS
- Complete revamp of prompt from flat 12-phase to 8-layer DAG with orchestration protocol
- Added 6 quality gates (business coherence, research completeness, architecture coherence, full requirements trace, operational completeness, context accuracy)
- Added explicit subagent delegation directives per phase
- Added `[P]` parallel execution markers throughout
- Added effort scaling rules (simple vs complex ideas)
- Added Source tracing on every backlog item
- Cited 20+ research papers and frameworks as grounding

## OPEN QUESTIONS
- None. Prompt v3 is complete and ready for review.
