How I work · 2026

Rules, agents & verified sources.

An agentic AI workflow built on Claude Code and MCP. Specialised agents, a constitutional rule file, and hooks that enforce between sessions. Everything traces to a source on disk — nothing is invented.

Single Page Application (run locally)
CV Engine · Dashboard
+ New Variant

Role family 1

Primary target lane

Role family 2

Secondary target lane

Role family 3

Stretch lane

Role family 4

Exploratory lane

17 variants
CompanyTarget titleUpdatedStatus
summit reSenior Product Owner23.05 · 09:37DRAFT
alpine fintechBusiness Analyst Claims23.05 · 18:17DRAFT
centro cxProduct Owner Digital CX23.05 · 09:37APPLIED
neura consultingAI Domain Lead22.05 · 14:02DRAFT
8 variants per app ~4 min per pass 0 API tokens ATS-friendly

The approach

Constitution first. Agents second. Hooks enforce the rest.

A single rule file — twenty-five rules — loads at every session start. No agent can override it. Each agent is scoped to one concern and loads only the playbook and source files it needs. Hooks run between sessions to stamp state, trace sources, and surface drift.

The model runs locally via Claude Code on a Max plan. MCP extends the tool surface — file reads, script calls, renders, all within one session. No API tokens, no external calls, no data leaving the machine.

Facts only. No invention. Ever.

Every claim must trace to a source on disk. If a claim has no source, it does not appear. No exceptions. Ungrounded lines get flagged — the engine ships, but the flag becomes a ticket to resolve before the next run.

Rule 1 — loaded every session

Rule constitution

Twenty-five rules load at every session start. No agent can override them. Behavioral rules are always on; domain rules activate per agent.

Hook enforcement

Hooks run between sessions — stamping state on commit, scanning for drift on write, promoting stale questions into the ticket tree.

Scoped agents

Each agent loads one playbook and reads only the source files it needs. No agent sees the full system — only its concern.

Agentic architecture

Specialised agents, shared rules.

Each agent is scoped to one concern. It loads its own playbook, reads only the source files it needs, and hands off to the next agent via structured output. The rules constitution loads at every session start — no agent can override it. Hooks enforce by side-effect between sessions.

RULES.md — 25 rules · loaded every session · no agent can override Triage agent Scores JD against rubric → FIT / STRETCH / SKIP Copy agent Tailors CV + letter → structured JSON variant QA agent Validates against sources → pass / findings Translator agent Mirrors DE ↔ EN → bilingual variant + 9 more specialised agents (web, UX, translation, …) · each loads only its own playbook Hooks enforce between sessions — source-trace · date-delta · state-stamp · application-sync SOURCE FILES ON DISK cv-master.json Every CV field numbers · non-claims Verified metrics + explicit gaps letter-corpus · voice Reference letters + banned words

The pipeline

JD in, eight PDFs out.

A job description enters the system. The engine triages, tailors, validates, and renders. Every PDF is ATS-friendly — real embedded text, no flattened images, machine-readable section headers. The model only fills values the schema allows, with content the source corpus already contains.

Capture JD → jd.md Triage FIT / STRETCH / SKIP Tailor Claude · constraints Validate verify.js · 18 rules Render 8 PDFs FED BY VERIFIED SOURCES cv-master.json Single source of truth for every CV field numbers · non-claims Verified metrics and explicit gaps letter-corpus · voice Reference letters and banned-word list The model never invents — it only fills values the schema allows, with content the corpus already contains.
CV Engine · Triages

Triages

7 decisions logged

EmployerRoleDateVerdict
Centro CXProduct Owner Digital CX (m/w/d)2026-05-23FIT
Alpine FintechBusiness Analyst Claims2026-05-23FIT
Solaris AGSenior Product Manager (100%)2026-05-22SKIP
Neura ConsultingAI Domain Lead2026-05-22STRETCH
Pragma EngineeringBusiness Solution Architect – AI & UX2026-05-21STRETCH

Every JD gets scored — FIT, STRETCH, or SKIP — before anything else runs. Only FIT and STRETCH proceed to tailoring.

CV Engine · Variant detail

summit re

Senior Product Owner

DEEN DRAFT
Status
Draft Progress Applied Rejected
PDF ↓ Re-tailor

The interface — Variant

Language toggle. Status tracking. PDF on the fly.

Each variant shows the tailored content with a DE/EN toggle. Status moves from draft through applied. The PDF renders on download — page-count cap and ATS extraction enforced at render time. If either check fails, the build fails.

What comes out

An ATS-friendly, source-traced PDF.

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