- Auth/roles (no self-reg), admin user provision, JWT - Analyze: sales kit + initial pain-fit from form/upload - Persona generator: 15 personas (5/tier) w/ pain variety, negotiation, init mode, channel, latent/revealable, wrong_text special - Chat simulator: per-mode initiation, one-shot, hidden signals, judge-LLM debrief+coaching - Trainee loop: win/lose board, weak-areas, user-generated personas - Admin analytics; EN+TH Vue SPA served by Flask - Deploy: Dockerfile, docker-compose, README, eng-log + HANDOFF - Tests (mock LLM): m0/m1/routes/e2e all pass
1.9 KiB
1.9 KiB
Engineering Log — Sales Trainer
Program status table + dated entries. Append-only entries under docs/engineering-log/.
What this is
A corporate, multi-user sales-training simulator. Admins upload/describe a product → app analyzes it + generates 15 realistic customer personas (5 per intent tier A/B/C) with varied, partially product-aligned pains, negotiation levers, initiation modes (customer/seller), channels (Facebook/LINE), and latent-vs-revealable data. Trainees chat 1:1 (one-shot) to close a sale; customers resist/negotiate/refuse; a separate judge-LLM scores + coaches the result.
Informed by MiroFish (CrowdSight engine) + the hermes-brain-and-tools CrowdSight plugin.
Status table
| Milestone | Status | Last verified | Evidence | Next action |
|---|---|---|---|---|
| M0 Scaffold + auth/roles | complete | 2026-08-07 | test_m0.py |
— |
| M1 Input & analyze (+pain-fit) | complete | 2026-08-07 | test_e2e.py |
— |
| M2 Persona groups + generation (15, wrong_text) | complete | 2026-08-07 | test_e2e.py |
— |
| M3 Report | complete | 2026-08-07 | test_e2e.py |
— |
| M4 Chat simulator (init modes, one-shot, judge, debrief) | complete | 2026-08-07 | test_e2e.py |
— |
| M5 Trainee loop (board, weak-areas, gen-persona) | complete | 2026-08-07 | test_e2e.py |
— |
| M6 Frontend (Vue SPA) + static serving fix | complete | 2026-08-07 | build + live HTTP 200 | — |
| M7 Docker/deploy/docs | complete | 2026-08-07 | Dockerfile/compose/README | live-key E2E |
Guardrails
- No self-registration; admin provisions users. (Verified: register => 404.)
- One persona = one chat per user (one-shot). Enforced in SessionStore + chat start.
- Latent persona fields never leak to trainees pre-result.
- LLM credentials live in
.envonly; never logged.
Entry index
2026-08-07-build-out.md— M0–M7 build-out, decisions, verification, current state.