AI and model teams

Launching, tuning and supervising models and the agents that use them.

The roles

  • The Engine Builder

    For an engineering lead shipping an AI engine to more than one kind of graphics processor.

    10 specialists

  • The Model Interviewer

    For a research lead who wants what a model knows in a form people can search.

    11 specialists

  • The Team Architect

    For a founder who wants a set of specialist assistants built around the company's own material.

    10 specialists

  • The Research Lab

    For a research director running an AI program with several lines of work.

    10 specialists

  • The Circuit Breaker

    For an AI operations lead who needs a stop button and a paper trail.

    10 specialists

  • The AI Workforce Manager

    For a manager running a team of AI agents.

    12 specialists

  • The Archive Keeper

    For a research lead whose results must still be readable next year.

    7 specialists

  • The Bulk Run Manager

    For a team with millions of prompts to process.

    12 specialists

  • The Control Room

    For an AI operations lead with agents running on many machines.

    12 specialists

  • The Model Broker

    For an AI team lead paying several model providers.

    7 specialists

  • The Model Launch Manager

    For a platform lead shipping a new model version.

    11 specialists

  • The Model Shrinker

    For an AI team that needs a large model on a smaller card.

    8 specialists

  • The Speed Detective

    For a platform lead whose model responds slower than it should.

    8 specialists

Specialists these roles share

The engineering behind these roles

AI subscriptions as governed workersCapabilityBigger models and longer context on fixed GPU memoryCapabilityHigh-throughput batch inference and embeddingsCapabilityWhat the work cost, to the pennyEngineering storyA router beside a production modelEngineering storyThe observer that changed the answerEngineering story

All functions