Dashboard

The engine room of the business.

One place for everything we build: the AI back-office business, the agents that run it, the knowledge behind it, and the decisions that shaped it.

Area

Business

Business Model Canvas, elevator statement, pricing (Build + Run & Grow), risks, client setups, pipeline.

Area

Agents

Profile of every agent: job, inputs, outputs, collaborations, status.

Area

Knowledge Base

Everything we know about AI-native companies: ExO, patterns, vertical blueprints, sources.

Blueprint

Architecture

How we build the guts of an AI-native company — principles, layers, conventions, protocol.

INCREMENT STATUS

1 · Skeleton — folder tree, context, architecture v0.1, decision log, roadmap, this interface
2 · Business area — BMC, pricing, risks, documents
3 · Agent registry
4 · Knowledge base
5 · Dashboard, pipeline, decision log on site
⏰ Publish for co-founder — Friday 2026-07-03

Area

Business

The AI back-office productized service. First customer: a tour guide. Built once, serviced monthly.

Increment 2

Business Model Canvas

The full canvas, rendered here.

Increment 2

Elevator statement

One paragraph that sells the whole thing.

Increment 2

Pricing — Build + Run & Grow

Fixed-fee 8-week pilot, then the monthly servicing retainer.

Increment 2

Pricing research

4-question price corridor script + per-vertical results.

Increment 2

Risks & opportunities

What can kill this, what can grow it.

Increment 2

Client setups

Example AI-native setups per vertical.

Increment 5

Pipeline

Prospects, status, next action, promises made.

Increment 2

Documents

Everything downloadable — workbook and other PDFs, viewable and downloadable here.

Area

Agents

Every agent working for the business — who they are, what their job is, how they collaborate.

Increment 3

Saladin — Scanner Steve

Scans signals across agile, product ops, ExO, AI disruption.

Increment 3

Saladin — Scorer Simon

Scores what Steve finds.

Increment 3

Saladin — Selector Samuel

Shortlists for the human-in-the-loop selection.

Increment 3

Saladin — Scribe Solun

Writes the draft, in Jakub's voice rules.

Increment 3

Job Hunt Joe

Full application workflow: fit, CV, cover letter, salary, tracking.

Increment 3

Gmail triage agent

n8n + Claude API + Telegram, twice-daily inbox intelligence.

Area

Knowledge Base

The wiki: everything created, found, or provided on AI-native companies.

Increment 4

ExO / Organisational Singularity

ExO 3.0, IMPACT framework, Intelligence Stack, REWRITE playbook.

Increment 4

AI back-office patterns

LLM-agnostic architecture, LiteLLM, on-prem orchestration, n8n.

Increment 4

Vertical blueprints

Tour guides, cultural centres, law firms, e-shops, tradespeople.

Increment 4

Agent design patterns

Pipelines, human-in-the-loop, agents watching agents.

Blueprint

Architecture of an AI-Native Company

How we build these guts: the principles, the five system layers, file conventions, and the human × AI collaboration protocol. The living blueprint — updated every time we invent a new convention.

Layer 1

Knowledge base

What the company knows.

Layer 2

Agents

What works autonomously.

Layer 3

Documents

What the company produces.

Layer 4

Decision log

Why it is the way it is.

Layer 5

Dashboard

What is happening now.

Full document: ARCHITECTURE.md in the HQ root — rendered here in a future increment.

Log

Decision Log

Date · decision · why · alternatives rejected. Prevents relitigating. Source: DECISION_LOG.md — seeded with 7 decisions from 2026-07-02, rendered here in Increment 5.

Board

Roadmap — Now / Next / Later

The session-start question: what's next? Source: ROADMAP.md — rendered here in Increment 5. Current NOW: publish for co-founder by Friday; Increment 2 (Business area).