Your expertise, queryable.
deslop.media publishes named experts as structured, queryable positions. One twenty-minute interview, then your thinking is on the record — readable by people and by their agents, citable forever.
The problem
Three ways to share what you know.
Expert spends 6 hours writing a LinkedIn post. 5 people actually read it. 25 colleagues like it out of obligation. No one reaches out. Expert wonders why they bothered.
effort: 6 hours · readers: 5 · outcome: 25 pity likes
Now everyone posts daily. Same 5 readers, 50× more content. The feed is unreadable. The people with the most to share stop posting because their signal is buried in everyone else's noise.
effort: 10 min · readers: fewer every month · outcome: indistinguishable from slop
Expert does a 20-minute interview. It's published as structured positions — discoverable by AI agents, citable as a source. The expert's thinking reaches the right person at the right time. No feed. No performance. Just published expertise, working.
effort: 20 min once · reach: discovered and cited by AI agents · outcome: readership, citations, audience insights
The solution
Publish once. Get cited forever.
Sit for a 20-minute interview
Structured questions. Your answers. No writing.
Feature goes live
Positions, deep dives, hap.json published.
Your thinking gets cited
AI agents discover your positions, cite them as sources, surface them to the people who need them.
What we publish.
The Scaling Bet
The scaling argument has shifted. It is no longer "does more compute keep working." It is "what gets paid for with the gains." Issue 01 reads ten experts across three roads and watches the bet come due.
Read the leader →A territory of positions.
Each cluster is a soft-bounded region. Each node is an expert position. One node lit Volt is the current issue's load-bearing pin.
Read deslop.media the way agents read anything.
Every feature, position, and expert exposes a structured endpoint at
/.well-known/hap.json. Connect once; query forever.
Editorial integrity preserved through schema, not throttling.