AI Plugin Company — Autonomous Multi-Agent System Running a Full Product Lifecycle

A multi-agent system that runs the entire WordPress-plugin business loop: what to build, whether it is worth building, building it, marketing it, and supporting it.

The idea

Most agent demos do one task. This one models an organisation. Specialised Claude and OpenAI agents each own a function and hand work to each other through a shared state store, the way departments do.

The agents

• Market research agent — gathers demand signals, competing plugins, pricing and gaps in existing offerings.
• Scoring agent — ranks candidate ideas against effort, competition and revenue potential, and kills the weak ones. This is the agent that stops the system from building whatever it thought of first.
• Development agent — turns the winning spec into plugin scaffolding, code and tests.
• Marketing agent — produces listing copy, positioning and launch material.
• Support agent — triages incoming issues against the plugin knowledge base.

The interesting engineering

• Orchestration over improvisation. Agents do not free-associate. Each has a bounded contract, typed inputs and outputs, and a defined place to escalate when it is out of its depth.
• Shared state, not shared context. Passing whole conversation histories between agents blows up cost and degrades reasoning. State is persisted and each agent is handed only what its task needs.
• Model routing. Cheaper models handle extraction and formatting; stronger models handle judgement calls like scoring and architecture.
• Cost and loop control. Step budgets and termination conditions, because an autonomous system without them will happily burn tokens forever.

Status: work in progress, developed openly.

Stack

Claude, OpenAI, Python, multi-agent orchestration, automation, PostgreSQL.

GitHub and architecture notes: https://www.twine.net/signin