Feyer

Paul Feyerabend, Against Method

And the initial playful activity is an essential prerequisite of the final act of understanding... Creation of a thing, and creation plus full understanding of a correct idea of the thing, are very often parts of one and the same indivisible process and cannot be separated without bringing the process to a stop. The process itself is not guided by a well-defined programme, and cannot be guided by such a programme, for it contains the conditions for the realization of all possible programmes. It is guided rather by a vague urge, by a [Kierkegaardian] passion. The passion gives rise to specific behaviour which in turn creates the circumstances and the ideas necessary for analysing and explaining the process, for making it rational.

Part play, part product; part research output, part tool I use to write and research; Feyer is an AI-native workspace application designed and built for both humans and agents, providing people like you and me all the UX/UI niceties while provisioning agents with the tools and data structures they need to be effective.

As LLMs increasingly operate as agents, working across and within different digital environments, I was curious to explore how you might go about designing and building double-facing interfaces that can serve both humans and agents. Feyer is then both the ongoing product of this exploration as well as the tool I use to gather research, run benchmarks, and capture insights from everyday use, to guide where I might want to go next.

Features and Explorations

Silent screen recording showing a writer selecting prose in Feyer, then using ChatGPT through Feyer’s MCP tools to inspect and work with the same research project.

Lean in-app AI, robust MCP and agent tooling

Feyer packages lean, focused, in-app AI features while providing robust MCP and agent tooling allowing for agents from Claude, Codex, and other model providers, to easily work alongside you within Feyer.