Blog
Notas sobre cómo construimos OnePress — decisiones que tomamos y por qué, en lenguaje claro.
When the model says no
A provider's content filter refused a legitimate request. The fix revealed where that filter actually lives — and it is not in the model.
Leer →Talk while it works: why our agent takes interruptions
Most AI agents make you stop them before they will listen. Ours lets you interject mid-run — because a work partner should behave like a colleague, not a machine you power-cycle.
Leer →Day two: teaching the clock to remind
The whim-built desktop clock got its first real feature request — from the founder's wife. Recurring reminders, weekday chips, click-to-edit, and a shorter domain, all inside one morning conversation.
Leer →From a whim to an installable app
One casual sentence — "I want a pretty analog clock on my desktop" — became a real installable PWA on the user's own Cloudflare account. The honest play-by-play, with screenshots.
Leer →From a browser tab to the workspace — building our capture extension in public
Our agent has six ways in, but none lived where source material appears: the browser tab you are reading. A capture extension closes that gap — design rules, first real captures, and an honest status.
Leer →How to turn a meeting recording into minutes
Drop an audio file, get speaker-labeled transcripts and structured minutes — with the real transcription output included and the honest edges.
Leer →How to turn a Word document into an editable slide deck
A practical walkthrough — what to feed the agent, what to check in the preview, and the four pitfalls that break downloaded decks.
Leer →The deck that downloaded blank
A real school science project turned our slide pipeline inside out: blank images, exploding fonts, and a rebuilt editable-PPTX path. Every break became a rule.
Leer →Why we don't clone voices or faces
We shipped avatar and voice cloning, then turned them off on purpose. Here's the reasoning — and what we kept instead.
Leer →A weekly digest that publishes itself
Every week an agent researches AI news, writes a script, narrates it, renders a video and uploads it — inside the same workspace users get. Here is how the pipeline works.
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