/new-research-project

You can scaffold a multi-agent AI research project by running a single command that generates agents, skills, behavioral rules, knowledge tooling, and session infrastructure based on your specified domain and research questions.

Yes, you can customize AI agent personas for a collaborative research team by selecting specific agent archetypes and applying persona overlays during the project scaffolding process.

Automated project architecture generation is the process of instantly creating multi-agent research infrastructure, including behavioral rules and knowledge tooling, to eliminate manual project bootstrapping effort.

Yes, multi-agent research scaffolding supports interactive agent selection, allowing you to choose agent archetypes like Skeptic or Calculator to tailor AI collaborators for specific research goals.

The best way to set up a collaborative AI project for data analysis is to use automated scaffolding that initializes session plans and knowledge systems alongside agent definitions in one step.

No, you do not need to manually define behavioral rules for AI research agents because the scaffolding process automates the generation of behavioral rules, skills, and session plans.