Reading a Water Map Before a Data Center Decision
AI can explain a county's water-stress score, but what does it tell you about a proposed data center? A small study explores the different kinds of evidence needed to prepare a local recommendation.
Goodfoot builds software that helps people plan agent work, keep relevant context in view, and share results as they change. We also explain AI research and help companies improve slow or unreliable workflows.
Goodfoot has the greatest customers in the world:
AI can explain a county's water-stress score, but what does it tell you about a proposed data center? A small study explores the different kinds of evidence needed to prepare a local recommendation.
An AI evaluation can change because the software changed or because people revised what counts as useful. Keeping old judgments comparable matters, but so does recognizing when the job itself needs a better definition.
What should an AI browser assistant finish for you? A browser experiment shows the promise of smaller operations, while research and shopping workflows reveal why handing over the whole task is a different choice.
When you ask AI to put a favorite tool inside another app, what else comes with it? Choosing the operation is only part of deciding how the new control should fit your work.
AI can help explain a difficult experience, but clearer wording is not the only goal. Research on chronic illness offers a way to think about what a rewrite may change, and who gets to decide.
Plan agent work and review the result against the brief. Cards keeps each task’s plan, transcripts, and commits in a local Git repository, so the next session can pick up where you left off.
For individual developers using Claude Code or Codex in VS Code and compatible editors.
Publish agent work and share changes in real time. Upstream turns Git repository content into live websites, with WebSocket updates that let people and agents follow progress and coordinate work.
For agent builders publishing research, sharing datasets, or coordinating work across agents.
Help your coding agent find the other files a change may affect. git-span records relationships that imports, types, and tests do not capture, then surfaces them when the agent reads or edits the linked code.
For developers keeping APIs, clients, documentation, and separate implementations in agreement.