Thursday, August 27, 2026105 posts
hussh notes
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Latest
Engineering notes, team posts and everything that isn't a product update, research or a founder's note.
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The protocol (PCHP)
Every Scope Resolves Now: A Systems Review of the Consent Fabric
A full engineering accounting of PCHP and the fabric that serves it: the registry's growth from 47 to 263 scopes, the resolver that went from 8 hand-mapped bindings to resolution by convention, the pseudonym fix that stopped telling subscribers who you are, the economics of a millicent handshake, and a plain ledger of everything that is still not real.
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Engineering
Everything That Broke Was Already Written
A systems engineering reflection on one night of shipping, in which every defect turned out to be correct code wired to nothing, and what that says about building software when an agent writes forty four percent of the commits.
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Building in the open
We Did Not Invent Our All-Hands
A thank-you to Gokul Rajaram, with the receipts. What we took from his write-up on running an all-hands unchanged, the four things we changed and why those changes are ours rather than his advice, and the honest note that we are building an agent to do the chief-of-staff job precisely so we never hire an operations team.
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Building in the open
Who Built This, and What We Owe Them
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Privacy and consent
The Cookie Banner Is Dead. It Just Does Not Know Yet.
Product updates
Launches and what shipped.
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Launches
Six months, told properly — the releases we shipped and never announced
A newsroom record of what
shipped between February and July 2026, drawn from the commit history rather than memory, with the people who did it named. hussh ·
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Launches
What Shipped: The Permission Gateway, July 2026
An honest product update on the Permission Gateway - what is running, what three security findings we fixed, what is still blocked, and what we deliberately have not built yet.
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Agent One
Introducing One Location Agent: Consent-First Location Sharing Inside Hussh One
Meet One Location Agent, a consent-first way to share live location with a person, purpose, duration, expiry, and clear control inside Hussh One.
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Launches
Introducing PCHP: an open consent handshake for humans, agents, and the people they trust
Manish Sainani and
Research & Intelligence Team · -
Company and people
hussh Opens Reservations for Personal, Owned Supercomputing -
Launches
The Countdown to September 27
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Company and people
We Are Knocking on Doors
Research
Papers, formal models and open problems, including the ones we haven't solved.
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Research
The smallest machine that completes the job wins
The complete token-per-watt research note on Apple M6, M5 Pro, M5 Max, and M5 Ultra for private agentic AI: the roofline, pre-ship decode estimates marked as estimates, best bang for the buck, and the PuppyBench protocol.
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Research
The Grand Architecture of Sovereign Computing
Hardware-enclaved agents, supercomputer bursting, and the hu_ssh protocol. Send the part that is only maths. Keep the part that is only yours.
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Research
Give the schematics away: an open letter to the engineers
Four things we cannot build without Apple and Google, written as specific asks — plus the four problems in our own specification we have not solved.
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Research
Cold Start Is a First-Class Constraint
Manish Sainani and the
Core Product and Technology Team · -
Research
Consent as an Operational Semantics
Manish Sainani and the
Core Product and Technology Team ·
Guides
Written guides and key documents: how to use hussh, sell it and build on it.
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Field guide
The Field Bible
The seller and trainer guide to Agent One, Puppy One and Tag One: know the products cold, how to explain them, and what not to promise.
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Builders
Build with AI: a field guide
How to build apps, APIs and agents on One, with PCHP consent and the open agent rails, in plain English.
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Getting started
Get started with Agent One
Install it on your phone and your other devices, set it up the way you like, and put it to work in minutes.
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User guide
Agent One: the first-time user guide
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User guide
Tag One user guide
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Overview
The Hussh Mega Map
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Builders
Agent One blueprints
Founder's notes
Essays by Manish Sainani.
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Manish Sainani
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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Manish Sainani
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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Manish Sainani
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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Manish Sainani
The Ad That Pays You, and Tells You Who Bought
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Manish Sainani
The Supercomputer in Your Pocket Wants a Job -
Manish Sainani
The World Subscribes to You -
Manish Sainani
The First Knock Is Free
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Manish Sainani
Consent Is the Wedge
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Research
The smallest machine that completes the job wins
The complete token-per-watt research note on Apple M6, M5 Pro, M5 Max, and M5 Ultra for private agentic AI: the roofline, pre-ship decode estimates marked as estimates, best bang for the buck, and the PuppyBench protocol.
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The protocol (PCHP)
Every Scope Resolves Now: A Systems Review of the Consent Fabric
A full engineering accounting of PCHP and the fabric that serves it: the registry's growth from 47 to 263 scopes, the resolver that went from 8 hand-mapped bindings to resolution by convention, the pseudonym fix that stopped telling subscribers who you are, the economics of a millicent handshake, and a plain ledger of everything that is still not real.
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Engineering
Everything That Broke Was Already Written
A systems engineering reflection on one night of shipping, in which every defect turned out to be correct code wired to nothing, and what that says about building software when an agent writes forty four percent of the commits.
-
Building in the open
We Did Not Invent Our All-Hands
A thank-you to Gokul Rajaram, with the receipts. What we took from his write-up on running an all-hands unchanged, the four things we changed and why those changes are ours rather than his advice, and the honest note that we are building an agent to do the chief-of-staff job precisely so we never hire an operations team.
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Building in the open
Who Built This, and What We Owe Them
Three months of work, told with the receipts. 1,477 commits of which 649 were written by an AI agent, six people who wrote most of the rest, the public registries we depend on, and the defect we found in production the morning we wrote this.
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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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Research
The Grand Architecture of Sovereign Computing
Hardware-enclaved agents, supercomputer bursting, and the hu_ssh protocol. Send the part that is only maths. Keep the part that is only yours.
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Launches
Six months, told properly — the releases we shipped and never announced
A newsroom record of what
shipped between February and July 2026, drawn from the commit history rather than memory, with the people who did it named. hussh · -
Company and people
We are hiring the people who will make private super agents real
is opening roles across protocol and policy, forward-deployed engineering, field sales, and the go-to-market team — and this is an honest account of what each one is for. hussh · -
Research
Give the schematics away: an open letter to the engineers
Four things we cannot build without Apple and Google, written as specific asks — plus the four problems in our own specification we have not solved.
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Research
Bridging Silicon and Supercomputers: the hu_ssh protocol
Zero-copy tensor memory transport from Apple Silicon edge nodes to NVIDIA cluster supercomputers.
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Research
The Quiet Machine: the human is in the middle of the circle
A long-form essay on hu_ssh, Apple Silicon unified memory, and the tradition of handing people their own computer.
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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 JobA 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. -
Privacy and consent
The World Subscribes to YouFor 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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Engineering
Eleven Messages
Scheduling a meeting among n people is a distributed constraint-satisfaction problem being solved by the slowest processor available — a human — over the highest-latency link available: other humans. We measure the real cost, show why the scheduling link makes it worse for everyone except the sender, and give a construction where agents compute the intersection of free time without any party learning a calendar. Includes exactly what it leaks, why strategic manipulation has no general solution, and what we have not built.
Manish Sainani and the
Core Product and Technology Team · -
Company and people
Raise a Toast
We celebrate 713 people and, until this week, not one of them had a page — every name folded into a directory, findable in the weakest possible sense. Why we gave each of them their own, the four enforceable rules we hold ourselves to when publishing about a real person who never asked us to, why the only durable way to rank for someone's name is to write the best page about them, and what we have not built yet.
Manish Sainani and the
Core Product and Technology Team · -
Privacy and consent
The Cookie Banner Is Dead. It Just Does Not Know Yet.
The consent banner asks the wrong entity, at the wrong moment, in the wrong language. Your agent should have answered before you arrived - once, on your terms, and fail-closed.
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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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Engineering
We Published Forty-Seven Scopes and Built Eight
Our public registry advertised 47 things a person could offer the world. The server honoured 8. The other 39 resolved to nothing, silently, with no error - and five of our own published agent types depended on them. Here is how it happened and what we changed so it cannot again.
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Privacy and consent
We Tried to Break Our Own Ledger
We attacked our own consent ledger and found three real flaws - a chain that could be silently truncated, a race between reading and revoking, and an error message that leaked. Here is what broke, how we fixed it, and what we still cannot promise.
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Launches
What Shipped: The Permission Gateway, July 2026
An honest product update on the Permission Gateway - what is running, what three security findings we fixed, what is still blocked, and what we deliberately have not built yet.
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Research
Cold Start Is a First-Class Constraint
An experience paper on a total production outage: a read-only index that outgrew the memory available at process start, built at module load, transitively imported by unrelated routes — so a directory change took the whole site dark. Why warm tests, successful builds, and a staging deploy all failed to catch it; four design principles for serving large read-mostly indices on autoscaled runtimes; and the deploy gate whose absence was the actual defect.
Manish Sainani and the
Core Product and Technology Team · -
Research
Consent as an Operational Semantics
A formal model for scoped, revocable, auditable data access. Consent expressed as a small-step transition system over grants, requests, and receipts — with five properties (no access without a live grant, receipt completeness, revocation totality, non-escalation, purpose binding) and an unusually long section on what the model provably does not prevent: inference, aggregation across grants, cross-boundary re-sharing, and the fact that revocation cannot un-know.
Manish Sainani and the
Core Product and Technology Team · -
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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Research
Counting Without Watching
A research paper on an open problem we have not solved: how to measure whether eight billion personal agents are genuinely useful, every day, without the behavioral telemetry our own architecture forbids. Formal problem statement, threat model where the operator is the adversary, a construction combining edge-local sketches, receipt-anchored derivation, calibrated noise and secure aggregation — and an honest account of what remains unsolved.
Manish Sainani and the
Core Product and Technology Team · -
Research
Entity Resolution Under a Right to Removal
Building a directory of 248,568 organizations and 616,145 named professionals across 52 U.S. metros, where every subject can demand deletion. Why removability is a design constraint on the resolution architecture and not a compliance feature — deliberate under-merging, claim-time verification against the authoritative regulator, collapsing 737 taxonomy codes into 27 human terms, and proximity as the primary key.
Manish Sainani and the
Core Product and Technology Team · -
Engineering
The
Yellow PagesRebuilding 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
The
Yellow Pages, RebornHow we rebuilt local discovery for humans and their agents. The
Yellow Pages is a modern-day, proximity-first directory of 248,568 businesses and 616,145 named professionals across all 52 U.S. metros — consent-first, claimable, removable, and agent-to-agent. The anti-Avvo: built on the front-line experts who show up for real people.Manish Sainani and the
Core Product and Technology Team · -
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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Agent One
Beyond the Family Map: One Location for Families, Founders, Investors, and Advisors
Explore consent-led location sharing for families and professional relationships, plus a fair comparison of One Location and Life360.
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Agent One
From Taps to Intent: How One Location Assistant Automates Location Sharing
See how One Location Assistant turns a natural-language request into a reviewable location workflow while keeping sensitive actions behind confirmation.
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Agent One
Introducing One Location Agent: Consent-First Location Sharing Inside Hussh One
Meet One Location Agent, a consent-first way to share live location with a person, purpose, duration, expiry, and clear control inside Hussh One.
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Launches
Introducing PCHP: an open consent handshake for humans, agents, and the people they trust
We are donating the Personal Consent Handshake Protocol to the open-source community. Here is what it is, and why now.
Manish Sainani and
Research & Intelligence Team · -
Engineering
The consent handshake in five minutes
The shortest path from zero to a working understanding of PCHP — for the developer who has five minutes.
Manish Sainani and
Research & Intelligence Team · -
Business and markets
The missing consent layer of the agentic internet
This week the internet gave agents payment, legitimacy, and authorization. It still has not given the person consent. PCHP is proposed to fill that gap — a peer to TLS.
Manish Sainani and
Research & Intelligence Team · -
Business and markets
Your financial health should move at the speed of your consent
Sharing your financial life with the people who advise you is still a mess of PDFs and portals. It does not have to be.
Manish Sainani and
Research & Intelligence Team · -
Agent One
The Future Is Yours
A research paper from Manish Sainani and the
Core Product and Technology Team on Private Agent One: a private agent that answers only to its owner and works quietly for them, 24/7/365, with their trusted circle of people, AI agents, and machines — so they can live more fully. With gratitude to Thinking Machines Lab's essay on a human future, cited as inspiration. Consent-first, owned, human at the center.Manish Sainani and the
Core Product and Technology Team · -
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. -
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. -
Company and people
hussh Opens Reservations for Personal, Owned Supercomputing hussh (hushh.ai) opens reservations for personal, private, and owned supercomputing, targeting a September 27, 2026 launch: Agent One free for life, Puppy One the personal supercomputer, and Tag One, a safety wearable that is not a medical device. Reservations are $0.69, refundable. -
Launches
The Countdown to September 27
Why supercomputing should be owned by the human, why now, what is coming on September 27, 2026, and how anyone can reserve or start free today. Meet
Agent One (free for life), Puppy One, and Tag One. -
Company and people
We Are Knocking on Doors
How
hussh goes to market: superpowers generally available, a field force in real neighborhoods, reservations on the doorstep for $0.69 refundable, and a community referral loop. Come knock with us. -
Research
The Human, Understood
A deep-research story on how people actually spend their days, why everyone is becoming a builder, and how
Agent One serves the human - 24/7/365, with the human always in control of their circle, information, knowledge, and creations. -
Agent One
Better Decisions Start with Kai: A Daily Framework for Smarter Moves
Use Personal Agent Kai as a repeatable decision framework to stay clear, consistent, and goal-aligned in changing markets.
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Agent One
Less Noise. Better Choices.: How Kai Simplifies Market Decisions
Personal Agent Kai helps transform daily market overload into focused actions that align with your goals.
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Agent One
Meet Personal Agent Kai: Your Market Confidence Companion
Markets move fast. Personal Agent Kai helps you cut through noise, stay grounded, and make clear, confident decisions.
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Agent One
Your Private Guide to Smarter Decisions: How Kai Fits Different Lives
From new investors to busy professionals and families, Personal Agent Kai adapts to different decision styles while keeping control with the user.
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Privacy and consent
Trust First: Why KYC and NDA Belong in Modern Onboarding
Why combining KYC and NDA early builds trust and reduces risk, how the hussh Tech onboarding flow works step by step, and the privacy-first controls that protect it.
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AI and agents
hussh Agents Day 0 Story
A single narrative showing how hussh’s creation, enrichment, update, and query agents spin up a verified profile in minutes.
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AI and agents
OpenAI Public Data Agent Documentation
How hussh’s OpenAI Public Data Agent turns minimal identifiers into enriched JSON profiles for personalization.
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AI and agents
hussh Agents DocumentationA tour of the A2A-powered agents that fuel the HushhOne ecosystem - from public data enrichment to Supabase automation.
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AI and agents
Empowering Intelligent Customer Onboarding with hussh.ai
Cloud Odyssey and hussh.ai built an intelligent Day 0 onboarding fabric with MuleSoft MCP, Salesforce, Supabase, and AI agents.
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AI and agents
GeminiAI Public Data Agent Documentation
How hussh’s GeminiAI agent enriches user profiles with public data and feeds the /agents ecosystem.
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AI and agents
hussh Brand User Data Query Agent
Inside the AI-driven Brand User Data Query Agent that powers natural-language intelligence requests across the /agents catalog.
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AI and agents
hussh Supabase Profile Creation Agent Documentation
How hussh’s Supabase Profile Creation Agent turns natural-language instructions into structured Supabase records via MuleSoft MCP.
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AI and agents
hussh Supabase Profile Update Agent Documentation
How hussh’s Supabase Profile Update Agent keeps CRM and personalization data accurate using natural-language commands over MuleSoft MCP.
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AI and agents
hussh User Data Query Agent
Meet the hussh User Data Query Agent - an AI bridge between phone-number prompts and fully enriched Supabase intelligence.
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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
From Tools to Agents: Why Prompt Engineering Isn't Enough Anymore
Explore why prompt engineering alone is no longer sufficient for modern AI applications. Learn how agentic systems with memory, planning, and tool use are revolutionizing AI development beyond simple prompts.
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AI and agents
The 7 Foundational Patterns Every Agent-Based System Should Use
Discover the 7 essential design patterns that form the backbone of every successful AI agent system. From prompt chaining to reflection, learn the fundamental building blocks for reliable, goal-oriented agents.
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AI and agents
The AI Developer's New Canvas: Architecting with LangChain, CrewAI & LangGraph
Explore how LangChain, LangGraph, and CrewAI are revolutionizing AI development by providing new architectural patterns for building intelligent, autonomous, and collaborative agent systems.
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AI and agents
hussh Super Intelligence Lab - Roles, Expectations & Compensation
Backed by hushhTech.com - A Proprietary Hedge Fund Fueling Open Research and AI Innovation
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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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Engineering
How PKM Can Simplify Your Digital Life
Discover how a Personal Knowledge Model (PKM) can help you manage your digital life effortlessly.
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Company and people
Revolutionize Your Campus Life with hussh for Students: The Ultimate Digital Sidekick
Transform your college experience with hussh for Students, your digital BFF for seamless campus interactions and personalized experiences.
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Engineering
On Device RAG system in IOS(SwiftUI) using Gemma 2B for LLM Processing
App for Interacting with private files
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AI and agents
How to Set Up an Automated Batch Processing Pipeline for the OpenAI API (GPT-4o-mini)
A complete guide to an automated batch processing pipeline with the OpenAI Batch API, Supabase and FastAPI: from creating batch jobs to saving the results.
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Company and people
Unlock the Potential of Personal Data Monetization
Explore how hushh.ai empowers individuals to safely and ethically monetize their personal data while ensuring privacy and control.
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Design
Exploring Untapped Markets Through UX: Finding the Overlooked and Unseen
Discover how UX design can uncover and serve untapped markets, from generational design, emerging markets, localization, accessibility and trust to behavioral segmentation, competitor gaps and user feedback.
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Design
How Business Potential Drives UX Success: Crafting Experiences That Mean More
Explore how aligning business potential with UX design creates meaningful experiences that resonate with users and drive success.
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Design
Why Population Size Matters in UX Design Decisions
Explore how understanding population size and demographic diversity can enhance UX design by making it more inclusive and scalable.
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Design
The Importance of Business Study in UX Research
Explore how understanding the business ecosystem enhances UX design by aligning user needs with organizational goals.
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Design
The Role of Technology Advancements in Shaping UX
Explore how advancements in technology like AI, AR, and big data are reshaping UX design and how hussh is leveraging these tools.
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Engineering
Simplifying Gmail Receipt Extraction for Developers
Learn how to efficiently extract and manage Gmail receipts using automated tools and techniques tailored for developers.
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Design
The Impact of Industry Trends on UX Design
Explore how industry trends like cloud computing, 5G, AI, AR, privacy regulation and sustainability are transforming UX design and how hussh is leveraging these advancements.
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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
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Agent One
Revolutionizing Shopping with hussh Wallet: A Blend of Magic and Innovation
A Blend of Magic and Innovation!
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Engineering
Trusted Python Engineering at hussh
Maintaining trusted deployments at hussh are paramount. Here we dive into our best practices on one of our open source libraries
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AI and agents
You (Probably) Don’t Need an Embedding Database
Vector Databases are in vogue, but do you really need one to support your AI powered Search?
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AI and agents
A Survey on Language Models and Related Data Privacy
Customers regularly express preferences for brands based on their attire. How can retail adapt and learn without compromising privacy?
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AI and agents
Unveiling the Power and Privacy of Language Models in Fashion
Explore how language models are revolutionizing the fashion industry by enhancing understanding of trends, generating creative content, and improving recommendations while prioritizing user privacy.
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Engineering
Search and Discovery for Luxury Fashion
Search and discovery go hand in hand when finding the frontiers for personal taste
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Business and markets
Logo Analysis for Brand Affinity
Customer Preferences with hussh’s Computer Vision Platform
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Engineering
Why do I need a JavaScript Module Bundler in hushh Chrome extensions️
Get a detailed comparison of three popular JavaScript frameworks - Angular, React, and Vue.js. Understand the strengths, weaknesses, and use cases for each framework to make an informed decision for your next web development project.
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Field guide
The Field Bible
The seller and trainer guide to Agent One, Puppy One and Tag One: know the products cold, how to explain them, and what not to promise.
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Builders
Build with AI: a field guide
How to build apps, APIs and agents on One, with PCHP consent and the open agent rails, in plain English.
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Getting started
Get started with Agent One
Install it on your phone and your other devices, set it up the way you like, and put it to work in minutes.
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User guide
Agent One: the first-time user guide
Sign in, meet your private agent, ask your first question, and finish setting up your account.
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User guide
Tag One user guide
Set it up, wear it, use one-tap SOS and your circle, and keep it charged and private.
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Protocol
The Hussh Protocol (PCHP), in plain English
The open consent layer behind One: you share the exact detail asked for, and nothing more, with a receipt.
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Overview
The Hussh Mega Map
The whole platform in one picture: a seven-layer stack and ten end-to-end journeys.
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Builders
Agent One blueprints
Purposeful agents you can build for Agent One, each specified end to end, with best practices.
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Trust
Security and certifications roadmap
Where each certification stands, from SOC 2 to FedRAMP High, and what we don't hold yet.