docs(vault): destroy the dead weight — 53 pages and the change diary

The vault was 155 pages / 31,210 lines, most of it measurement ledgers for
payloads that no longer run. A throughput figure for a runtime nobody operates is
not a record: AI moves faster than the vault, so the number is wrong before
anyone reads it, and a wrong number in a runbook gets believed. Per the new
purpose test in `AGENTS.md` → *Documentation Policy*, it is destroyed.

Gone (`.AGENTTRASH/20261019-destruction/`, KILL-LIST.txt is the manifest):
- the `frank-medium` endpoint and its five era pages, `frank-npu`, FastFlowLM,
  the ikllama/kingjones/dealign/frank-redo eras, the ling/swift15/freetoken/ubatch
  campaign pages, qwen3.8 spec-matrix and strix-optimizations, the two
  "Running Qwen3.6 …" pages;
- the whole `Pipeline Parallelism/` folder (no live script passes a pipeline flag)
  and the multi-device/x4-pair/hybrid/offload experiment pages;
- every vLLM page — no vLLM endpoint exists on this fleet;
- `LLM/deployment.md` (`Architecture/Deployment Flow.md` is the test-referenced
  owner) and the external surveys (SGLang, Lemonade, llama.cpp forks/diff,
  self-hosted app census, the TTS survey) that were obsolete by construction;
- `log.md`, 2,380 lines. Git holds the chronology; a causal law belongs to the
  page that owns the thing it governs, never to a diary.

Survivors: 101 pages, 17,542 lines, 0 OKF violations, 0 unresolved links. Eras
tables keep the window, payload, runtime, reason and rollback pointer; the rate
columns are blanked. The live shapes stay verbatim — those numbers are what the
deployer and `models.yml` consume.

serverAppConfigs-docs/Research/AI Job Search and Resume Tools.md

@@ -34,7 +34,7 @@ The space split into two distinct shapes in 2026:
    your machine against a paid AI CLI (Claude Code, Codex, etc.).
 
 **Strongest self-hostable picks for this fleet:** JobSync (MIT, Ollama-as-default
-AI + MCP server), Resume Matcher (Apache-2.0, best dedicated tailoring tool),
+AI + MCP server), Resume Matcher (Apache-2.0, best dedicated tailoring tool)
 Reactive Resume (MIT, best pure resume builder, 43k stars). There is **no
 dominant self-hosted app for pure job *discovery*** at scale — that niche is
 JobNavigator (Docker, 126 stars) plus the CLI frameworks.
@@ -52,7 +52,7 @@ CLI you already pay for; data is local Markdown/YAML you own. Not a server:
 `npx @santifer/career-ops init`.
 
 ### ai-job-search (MadsLorentzen) — https://github.com/MadsLorentzen/ai-job-search
-MIT, ~43,600 stars. Claude Code framework: `/setup`, `/scrape`, `/rank`,
+MIT, ~43,600 stars. Claude Code framework: `/setup`, `/scrape`, `/rank`
 `/apply <url>` (fit evaluation + tailored LaTeX CV + cover letter + a reviewer
 agent), `/interview`, plus an ATS parseability check on generated PDFs. Portal
 skills ship for the Danish market but are swappable. Prereqs: Claude Code,
@@ -62,14 +62,14 @@ private repo with this repo as `upstream`.
 
 ### JobSync — https://github.com/Gsync/jobsync
 MIT, ~1,300 stars. The most complete self-hosted tracker: application tracker +
-monitoring dashboard, resume management (PDF/DOCX import with AI extraction),
+monitoring dashboard, resume management (PDF/DOCX import with AI extraction)
 contacts, company pages, interview question bank, tasks/time tracking, and
 **automated job discovery** (scheduled automations track companies via job-board
 APIs and AI-match each listing). In-app AI assistant (resume review, job-match
 scoring, tailored cover letters) and a built-in **MCP server** (Claude Desktop
 can add jobs from chat). **Ollama is the default provider — fully local, no API
 key**; known-good `qwen3.5:9b`. Models must support tool calling + structured
-output. `git clone` + `docker compose up` → :3737. Env: `AUTH_SECRET`,
+output. `git clone` + `docker compose up` → :3737. Env: `AUTH_SECRET`
 `ENCRYPTION_KEY` (encrypts stored API keys — set before adding keys, never
 change after), `NEXTAUTH_URL`, `MCP_ENABLED`. Treats pasted postings as untrusted
 text (prompt-injection defense).
@@ -115,7 +115,7 @@ highlighting** against the JD, PDF export (4 templates). **Ollama (local)** plus
 OpenAI, Claude, Gemini, OpenRouter, DeepSeek (built on LiteLLM). Official
 Docker images: `docker run -p 3000:3000 -v resume-data:/app/backend/data
 ghcr.io/srbhr/resume-matcher:latest` (API at `/api`, health at `/api/v1/health`).
-**Ollama-in-Docker gotcha (README):** use `http://host.docker.internal:11434`,
+**Ollama-in-Docker gotcha (README):** use `http://host.docker.internal:11434`
 not `localhost`.
 
 ### OpenResume — https://github.com/xitanggg/open-resume
@@ -133,7 +133,7 @@ DeepSeek, Groq) — no Ollama/local documented. Next.js 15 + Supabase + Redis.
 
 ### rendercv (non-AI) — https://github.com/rendercv/rendercv
 MIT, ~17,600 stars. LaTeX-based YAML→PDF resume builder. No AI, but the
-strongest "ATS-safe by construction" formatter (single column, standard fonts);
+strongest "ATS-safe by construction" formatter (single column, standard fonts)
 pairs well with any AI tailoring step.
 
 ## Best Practices for a Homelab AI Resume/Job Pipeline