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Practical ways to structure AI collaboration for research, product development and complex projects.
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4 in-depth articles available
Use case
How an AI Team Can Help Build a Product
A realistic look at using an AI team for product development: research, UX, engineering, and GTM teammates with a project lead — and the human firmly in the decision-maker seat.
Use case
How to Build a Team of AI Agents
A concrete 9-step framework for building a team of AI agents: define the work, assign roles, set collaboration rules, choose models, add human approvals, and iterate. With a full marketing-crew example.
Use case
How to Use OpenAI and Claude Together on the Same Project
An honest guide to working with OpenAI and Claude models on one project: why people combine them, the copy-paste workflow's hidden costs, what to keep straight about consumer apps vs. API access, and how a multi-model workspace keeps continuity.
Use case
How to Use Multiple AI Models on the Same Project
A practical pattern for running several AI models on one project: research, critique, technical analysis, and synthesis — each on the model that fits. Includes when model diversity helps, when it doesn't, and the cost/latency tradeoffs.
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