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AI Summit @ StanfordOpen 🤫 Agent One

Everything for
AI Summit @ Stanford.

Print it. Read the engineering. Post it. Share the pitch.

Open 🤫 Agent One hushh.ai/one

July 30 – August 1, 2026

Stanford University · Stanford, California

FedEx print set

PDF-only print masters, including technical sheets that separate shipped mechanisms from reference design.

PDF
PDF master

24 × 36 exhibitor poster

24 × 36 vector PDF master

For an exhibitor backwall, easel, or high-visibility booth placement.

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PDF master

11 × 17 poster

11 × 17 vector PDF master

For lobbies, hallways, and windows.

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PDF master

5 × 7 postcard

5 × 7 vector PDF master

For handouts and follow-up conversations.

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PDF master

A private agent you own

8.5 × 11 letter-size vector PDF master

For the booth, demo table, or a simple take-away sign.

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PDF master

Two-sided recruiter pack

Two-sided 17 × 11 landscape vector PDF master

For the recruiting team: open roles, a candidate-facing call to action, and a careers QR code.

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PDF master

Stanford dreamers recruiter pack

Two-sided 17 × 11 landscape vector PDF master

For engineering, quantitative research, product, and GTM candidates who want to help make useful intelligence broadly available.

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PDF master

Why 🤫 Agent One

17 × 11 landscape vector PDF master

Plain-language product story: private agent, clear consent, and honest encryption boundaries.

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PDF master

Build with Hussh

11 × 17 vector PDF master

Developer MCP lifecycle plus direct QR codes for the workspace, open-source research, and Discord.

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PDF master

Consent is an execution boundary

17 × 11 landscape vector PDF master

Table-top technical explainer: live PCHP mechanisms and explicit implementation gaps.

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PDF master

A grounded answer is a trace

17 × 11 landscape vector PDF master

Table-top technical explainer: query, context, tools, safety controls, and SSE synthesis.

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PDF master

Local first. Burst by consent.

17 × 11 landscape vector PDF master

Table-top technical explainer: the published local-first compute reference design and its codebase boundary.

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PDF master

Open problem: consent as a type system for agents

11 × 17 vector PDF master

Research abstract with a grant-composition problem statement and concrete first contribution.

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PDF master

Open problem: selective private memory

11 × 17 vector PDF master

Research abstract on encrypted, bounded memory retrieval for private agents.

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PDF master

Open problem: grounded-answer traces

11 × 17 vector PDF master

Research abstract on evidence traces, failure visibility, and follow-up latency evaluation.

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PDF master

Open problem: MCP capability semantics

11 × 17 vector PDF master

Research abstract on portable tool authorization semantics and malicious-schema testing.

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PDF master

Open problem: consent-aware compute placement

11 × 17 vector PDF master

Reference-design abstract on local-first scheduling and user-directed bursts.

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PDF master

Open problem: measurement without watching

11 × 17 vector PDF master

Research abstract on measuring useful agents without behavioral surveillance.

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Social ready

Original 4:5 artwork for feeds. Download the image; use the matching caption from the event content calendar.

PNG · 1080 × 1350Open content calendar
Open content calendar
Who does your AI work for?

Who does your AI work for?

PNG · social ready

Your next AI should be yours.

Your next AI should be yours.

PNG · social ready

One ping. The right person. The job done.

One ping. The right person. The job done.

PNG · social ready

Find local. Decide faster. Keep the relationship.

Find local. Decide faster. Keep the relationship.

PNG · social ready

Income in. Payments out. One clear picture.

Income in. Payments out. One clear picture.

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Know when to speak. Know when to hussh.

Know when to speak. Know when to hussh.

PNG · social ready

The Friday pitch

Read the public Seed teaser in the browser, use it for event conversations, or download the exact deck.

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AI Summit @ Stanford

Personal Supercomputing, owned by you.

hushh.ai/one

Made to resolve

Each print QR resolves directly to the relevant public front door—🤫 Agent One, a cited research note, or current open roles. Every code is decoded again from its exported PDF before publication.

No attendee tracking

These public assets contain no referral token, attendee identifier, or secret-bearing URL. Anyone may print and share them.

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Build in the open

Read the reference implementation, question the claims, and help improve the protocol with the developer community.

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