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:
An AI can explain a calculation without showing what other reasonable choices would change. A study of analytical review finds that visible alternatives weaken one result's pull, while giving the reviewer more work.
An AI answer can appear in a shared chat without becoming a shared topic. Two student studies explore what changes when partners can see the same material, and what they still need to discuss.
An AI tutor can keep a writer discussing ideas without showing that the essay improved. A classroom study explores the space between useful questions and actual revisions, where the writer still has decisions to make.
An AI can fill a grocery cart without settling whether the shopping suits your household. OpenAI’s LifeVal benchmark turns personal requirements into testable criteria, exposing both progress and the limits of a single score.
An old prompt instruction may have outlived the problem it solved. When changing AI models, deciding what to remove means asking what successful work looks like without it, and what still deserves checking.
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.