Research, frameworks, and service guides.
A guide for leaders and teams working through AI adoption while the context keeps changing. It looks at the common mistakes that slow progress and offers a framework for testing ideas, learning from real use cases, and deciding what’s worth pursuing.
Discover the framework for building synthetic users as decision agents, using them as UX Validation, and keeping them as context for every product decision.
What a working prototype still needs before people can rely on it every day: code quality, security, deployment, and maintenance.
We design and implement AI agents that connect to your systems, execute tasks, and collaborate with your team. We start with one specific use case, measure the impact, and scale what works.
Connect your internal systems and custom products to the AI tools your team already uses. Ask in plain language and get answers backed by your information, with sources, permissions, and an audit trail.
Generative UI lets a model select or arrange interface elements in response to a request. Use this guide to choose a first workflow, define how the feature should behave and evaluate a pilot before expanding access.
A playbook for building greenfield products with AI agents: one cycle for exploration, where the PM validates what to build, and one for construction, where engineering builds it to last, connected by a single artifact, a spec with a test plan.
