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Agent One
The Last Mile Is a Human Being
Answer engines have gotten extraordinarily good at answering. They have not gotten any better at being responsible for the answer. That gap is a person, and it is the most valuable unbuilt thing on the internet.
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Engineering
We Measured the Data Before We Built the Product, and the Data Said No
A week of findings from our own codebase. A corpus that would have invented lawyers who do not exist, a postcode range that would have moved a town, and three comments that described behaviour nothing enforced.
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Privacy and consent
Ask Them. Ask Them Every Time.
Steve Jobs described the whole of privacy in about forty seconds in 2010, and nobody built it. This is what a human-first subscription to your own information looks like if you take him literally - including the parts that are harder than they sound.
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Business and markets
The Ad That Pays You, and Tells You Who Bought
Personalised advertising and private advertising are not opposites - they only look that way because of where the matching happens. Move the match to the person's own device, and the whole market inverts: you set the price, you see the buyer, and you get the receipt.
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Engineering
🤫 The Supercomputer in Your Pocket Wants a Job
A deeply technical, thoroughly geeked-out tour of what 🤫 Private Agent One can be configured to do when it runs on silicon you already own - Apple in your pocket and on your desk, NVIDIA in your garage - with Hermes, Nemotron and OpenClaw underneath, and a consent ledger that makes all of it provable. Plus an open invitation to the engineers at Apple and Google.
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Privacy and consent
🤫 The World Subscribes to You
For thirty years the internet subscribed to you without asking. We built the opposite - one profile you own, and a world that subscribes only to what you grant, with a receipt for every access.
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Privacy and consent
The First Knock Is Free
Every agent gets to reach you once, at no cost. After that you set the price - a tenth of a cent, or a thousand dollars. Not because you will get rich, but because a price is the only honest way to find out what your information is actually worth.
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Privacy and consent
Consent Is the Wedge
The security a federal agency demands and the trust a marketplace needs are the same thing: a signed receipt for every access. A build-in-the-open field note on what we shipped this week - a tamper-evident consent chain, vault-held keys, honestly-labeled hardware identity - and what we are honest we have not.
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Engineering
The 🤫 Yellow Pages
Rebuilding the directory as what it was always trying to be: a book of real people who do skilled work near you. 665 verified-at-source listings in King County, ZIP-proximity search, claimable and removable by the humans in it - and why the whole thing has to be agent-to-agent.
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Engineering
We Ship Dark
Almost everything important we built this quarter is turned off. Why every meaningful control ships behind a kill-switch that defaults to no - what shipping dark means, the four rules that keep it from rotting into dead code, and the honest cost of doing it.
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Building in the open
What the Code Said
We graded ourselves by reading the code instead of asking how it was going, and published the result - the greens, the many ambers, and the reds. Including why we deliberately do not publish the specifics of unpatched security debt, and where that line sits.
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Building in the open
Through the Wall of Worry
An honest, optimistic essay about the anxiety of the AI transition, jobs, privacy, control, and trust, and a credible path through it: ownership, consent, transparency, and keeping the human at the center. Confident, not naive.
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AI and agents
Personal Intelligence
Intelligence has always been personal, formed by a lifetime of knowledge, experience, and taste. Owned, private AI lets a person compound their own intelligence instead of renting someone else's. On 🤫 Agent One, 🤫 Puppy One, consent, and keeping the human at the center.
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Privacy and consent
Your Information Is Your Business
For two decades the deal was free things for data, and the people who create the information owned none of the value. A candid essay on why your information should be your asset, held in a vault you own and worked on your behalf by a private 🤫 Agent One, with consent and receipts through the Personal Consent and Hushh Protocol.
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AI and agents
Agent-Oriented Thinking: A New Mindset for AI Product Teams
As AI capabilities rapidly evolve, product teams are being called to rethink the very foundations of software design. The shift from traditional app paradigms to intelligent systems demands more than new technologies; it requires a new mental model.
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AI and agents
Building Resilient AI Agents: Design Patterns for Failure Recovery and Guardrails
As AI agents become increasingly embedded in critical workflows, their reliability is no longer a luxury - it's a necessity. This post is a hands-on guide to designing resilient agents that not only perform well in ideal conditions but recover gracefully when things go wrong.
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AI and agents
Agentic Design Patterns - Building Smarter, More Reliable AI Agents
Design patterns have long been the cornerstone of software architecture - from MVC in web development to factory methods in object-oriented design. Now, as AI becomes more intelligent and autonomous, we need new patterns: agentic design patterns.
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AI and agents
Agentic Systems Demystified - The Future of Intelligent AI Applications
As AI evolves from reactive interfaces to autonomous systems, the term “agent” is becoming central to how we build and interact with software. But what exactly is an agentic system?
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Engineering
Parallelism, Experts, and Vision: How Apple Built a Scalable Server Model
Apple’s server-based language model represents the other half of its AI story. While the on-device model powers quick, personal interactions, the server model handles complex, large-scale tasks.
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AI and agents
Building Personal Data Agents on iOS - A Deep Dive into Apple’s On-Device AI
In 2025, Apple revolutionized AI development on its platforms by introducing the Foundation Models framework. This API gives developers access to Apple’s private, on-device ~3B parameter language model that powers Siri and Apple Intelligence.
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AI and agents
Coding Like Bacteria - The New Ethos for Open Source AI
At hussh.ai, a movement is taking shape - one that blurs the lines between software engineering, biology, and collective intelligence.
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Engineering
Foundation Models Framework - Apple’s Swift Gateway to On-Device AI
With the Foundation Models Framework, developers can tap into Apple’s compact, high-performance on-device LLMs using familiar Swift code, intuitive tools, and ironclad privacy.
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AI and agents
Image Recognition in Real Life - How to Build with AI in Minutes
Image recognition has quietly become one of the most impactful AI technologies in daily life - from unlocking your phone to helping farmers monitor crop health via drone footage.
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Engineering
Inside Apple’s Compact On-Device LLM - Design, Performance & Impact
Apple's approximately 3B-parameter on-device language model powers a new era of intelligent apps on iPhones, iPads, and Macs. It is designed to deliver low-latency, privacy-first generative AI directly on Apple devices.
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AI and agents
Inside hussh’s Consent AI Stack - From Monorepo to Micro Operons
hussh isn’t just a product. It’s a protocol - a living system where agents speak the language of consent, powered by open-source code and governed by user trust.
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AI and agents
Privacy by Design - How to Build Ethical AI Agents on iOS with hussh
Most AI products today rely on massive cloud models. These systems transmit user input - everything from health metrics to private conversations - to centralized servers.
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AI and agents
Summarization with AI - Turning Long Reads into Smart Insights
In today’s world, time is the new currency. From news articles and academic papers to emails and meeting notes, people are overwhelmed with text. Enter summarization - an AI-powered technique to boil down complex text into crisp, clear takeaways.
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AI and agents
Voice to Text with Whisper - Let AI Transcribe Anything
Voice is natural. Whether you're dictating notes, talking to a smart speaker, or attending meetings - audio is everywhere. But AI transcription used to be complicated, inaccurate, and expensive.
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AI and agents
Why hussh is Embracing Apple Silicon for Privacy-First AI
Discover how hussh leverages Apple Silicon's M2 Ultra chip for privacy-focused AI solutions
