PayCargo · AI Platform · TLDR · 3 of 5

The Cartridges

The actual rides. Each one a piece of equipment kids can climb on.

A cartridge is an AI app that has been mounted on the playground. The chatbot is a slide. The observability dashboard is a seesaw the operator rides. The future code-agents app will be the monkey bars. Each cartridge is self-contained but inherits every safety feature for free.

The naming matters. We do not call them "apps" because that implies they each handle their own gate, their own bouncy floor, their own cameras. They do not. We call them cartridges (like an NES cartridge) because the playground is the console, the cartridges plug in, and the cartridge gets all of the safety stuff from the slot it plugs into.

What rides we have today

Observability Live

The operator's clipboard. Built first because you cannot run a platform you cannot see.

The screen where the operator looks at health, cost, audit logs, scheduled jobs, and per-cartridge spending. Has its own little dashboard, an admin tab for managing users and groups, a documentation tab (this one), a cartridges tab for cost attribution.

Lives at cartridges/administrative/obs/. Operator-facing only.

Chatbot Live

The first end-user-facing ride. A streaming Claude chat with PayCargo guardrails.

Talk to Claude inside the playground. Every conversation goes through a guardrail (no sharing of PII, no off-policy topics). Every call is cost-attributed to the user who made it. Streaming response so the user sees output as it's generated.

Lives at cartridges/global/chatbot/. Available to every authenticated PayCargo user.

Code-agents Doctrine landed

The next ride. AI agents that build software from a spec.

Triggered by a GitHub label on an issue. A coordinated team of AI models (cheap scouts then expensive writer) reads the spec, drafts a path to code (file paths plus diffs), and proposes the change as a pull request.

Will live at cartridges/engineering/code-agents/. Engineering team is the audience.

What rides are on the roadmap

Sales reporting Planned

The sales team's seat at the Salesforce dashboard.

An AI app that talks to Salesforce on the user's behalf via OAuth (covered by Step 6.n). Pulls account, opportunity, pipeline data. Answers natural-language questions like "what closed last quarter in the freight forwarder segment."

Will live at cartridges/sales/reporting/ (folder reserved).

Marketing, HR, Finance, Labs Folders reserved

Each department gets its own department folder. Department-led, platform-supported.

The folders exist in the repo today (cartridges/marketing/, etc.) with placeholder markers. As each department identifies the first AI use case they want, that department's first cartridge lands in their folder.

What makes a cartridge a cartridge

Specific shape, intentional. Every cartridge is:

PropertyWhat it means
Self-containedOne folder under cartridges/<department>/<name>/. Has its own Terraform, frontend, Lambda code, docs.
Plug-and-playThe Console auto-detects it. No separate registration step. New cartridge folder + apply equals a new tile on the launcher.
Foundation-inheritedEncryption, identity, audit, supervisor, network limits all apply without any cartridge code. The cartridge author writes business logic.
Standardized backendAPI Gateway HTTP API plus Lambda. JWT-verified. Origin-secret protected. CloudFront-fronted.
Standardized frontendS3 plus CloudFront. Loads the SDK from the Console. Uses PayCargo design tokens.
Operator-visibleShows up on the obs Cartridges tab automatically. Cost attribution, last-invoked timestamps, configuration panel all free.

How a new cartridge gets born

  1. The Anvil sketches it. Name, capabilities, OAuth providers needed, data classification, cost estimate. (See Anvil.)
  2. The Forge builds it. AI-assisted scaffolding from the spec. (See Forge.)
  3. The Console mounts it. A pull request lands, an apply runs, a new tile appears on the launcher.
  4. The Foundation protects it. Without any cartridge author work, the safety features apply to every call the cartridge makes.

Cartridges per department, not per app

The folder structure says cartridges/sales/, cartridges/marketing/, etc. on purpose. A department can have many cartridges over time. The folder is the home. The first one lands; the second, third, fourth land next to it. Department-led AI strategy is structurally encouraged.

Want the technical version?

Cartridge engineering depth lives in Step 6.d (repo structure), Step 6.i (cartridge metadata), Step 6.j (chatbot build walkthrough), Step 6.l (code-agents spec), and Step 4.5 (observability cartridge).