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BeyondDesk

WDSF 2026 results are on record — 10 awards · 11 winnersSee the record →

Work is changing. Your space is how you answer.

Following that change — through real workspaces, live signals, and a yearly festival.

Start here

Scan your desk →Submit your setup →

WDSF 2026 — winners on record

Off-season · See the 2026 results
Full results →
Chen Sifan setup — Desk Setup of the Year
Giuse setup — Rising StarMichael Shi setup — Best Gaming Room

Desk Setup of the YearChen Sifan · Hangzhou, China · S·0068

Harry Shou setup — Retro Pixel AwardRetro Pixel AwardHarry ShouJOELUN setup — Modern Lifestyle AwardModern Lifestyle AwardJOELUNZunDa setup — Pioneer Creativity AwardPioneer Creativity AwardZunDaNtraxMartin setup — Future Vision AwardFuture Vision AwardNtraxMartinJosh Eslami setup — Future Vision AwardFuture Vision AwardJosh EslamiXZ setup — Best Color Ambiance AwardBest Color Ambiance AwardXZrgrktee setup — Digital Nomad Productivity AwardDigital Nomad Productivity AwardrgrkteeDeerJxcss setup — Cooling Aesthetics AwardCooling Aesthetics AwardDeerJxcss

Why this ledger exists

Read the full manifesto →

  • 01

    Judgment and taste

    When AI does more of the doing, the human part of work gets sharper — judgment, taste, direction.

  • 02

    An observation post

    AI is rewriting the workday in real time. Beyond Desk watches where that change becomes physical.

  • 03

    Authorship

    How you work is becoming something you design, not something you are given.

Setups. 178 real workspaces, logged as submitted — people first, gear second.

browse all →

Scan. The one tool here that reads your own desk — a private AI report, by email.

scan your desk →

One photo, read as a working system — scored 1–5 on the same four dimensions the festival uses, each with a written reason.

  • ReportArrives by email — no total, no ranking
  • PrivacyPrivate to you — kept out of the gallery and the registry
  • StorageHeld in access-controlled storage, then deleted on a fixed schedule
Scan your desk →How it reads a workspace →

The four dimensions it reads

  1. 01Work-mode fitDoes the layout serve a believable, describable workflow?
  2. 02Spatial narrativeCan a stranger read the person and place from the frame?
  3. 03Craft & executionHow completely is the intent finished — not how much it cost?
  4. 04AuthenticityA space in real use, or staged for show?

Blog. Thinking built on the evidence — essays and notes reasoned from recorded signals.

all entries →

Evidence graph

The ledger as a map. Dashed edges are machine-suggested (embedding similarity and duplicate clusters); solid edges are editorial — they appear only where a blog post cites an entry.

cites — editorial citation (blog post → entry)
related — machine-suggested (embedding similarity)
cluster — same story, archived duplicate

AI hardware & peripherals

Agentic workflow patterns

Agent tools & setup

Papers & ergonomics

Practical tips

Raw data: signal-graph.json

Same data, machine-readable: signal-graph.json

Signal. An evidence stream on how AI is changing the workday — sources read, scored, and filed.

read the stream →

The ledger’s credibility

How the Signal ledger earns trust.

Four rules keep every reading auditable — from where a claim comes from to how the map is allowed to draw it.

  1. Tiered, reviewed sources

    Every source sits on a reviewed list. Its tier weights the final score by provenance — an auditable code weight, not a trust badge.

  2. Computed, not conjured

    Five dimensions are scored, then combined by formula — mean × source weight. The final always says what it is, never a model’s opinion.

  3. Source and reading kept apart

    What a source said and what the pipeline read never merge into one voice. Pipeline notes always carry their disclaimer.

  4. Machine guesses stay labelled

    On the map a dashed link is an embedding’s suggestion; a solid link is an editor’s citation. The two never blur.

Tile values are illustrative examples — not a live entry’s reading.

Beyond Desk