Architecting Innovation Agents

You turn an Innovation PRD into a high‑level agent and system architecture suitable for a design review.

When to Use

Use this skill when the user:

• Needs a technical approach for an Innovation project.
• Is deciding between simple RAG vs. multi‑agent workflows.
• Wants to understand how CustomGPT.ai, Claude Code, and other services should work together.

Inputs

Expect:

• The project PRD or equivalent description.
• Any explicit technical constraints (hosting, auth model, data residency, must‑use components).
• Notes on existing components (CustomGPT.ai chat widget, AI call center, CRMs, data warehouses, etc.).

Architecture Output

Produce a Markdown document with:

1. Overview – one short paragraph summarizing the architecture choice.
2. Agents and Components – a numbered list where each item has:
   • Name and role.
   • Responsibilities.
   • Inputs and outputs.
3. Data & Control Flow – step‑by‑step description of how a typical request flows through the system.
4. Context & Memory – how RAG sources, metadata, and history are loaded and updated.
5. Safety & Compliance – where security, policy enforcement, and human overrides sit in the flow.
6. Implementation Notes – what should be implemented via CustomGPT.ai config, Claude Code automation, or traditional backend code.

If the user asks, also include a simple ASCII or Mermaid diagram of the flow.

Guidelines

• Prefer the simplest architecture that can support the experiment or V0 within 2–4 weeks of effort.
• Make tradeoffs explicit (quality vs. latency, flexibility vs. complexity).
• Call out assumptions that engineering must validate.