Signal tracks the AI shifts that actually change how work gets done. Not a news dump. Not a roundup. Not daily. One issue when something real shifts — what changed, what held up, one move to act on.
The model generates noise. Signal tracks what actually changes the work.
Signal publishes in two formats depending on the story. Issues when a shift needs framing. Deep Dives when a story needs full investigation. Each Deep Dive can ship with a companion Playbook — the execution layer for the thinking. Everything free. Everything in the archive.
Each issue identifies a real pattern, risk, or opportunity in how AI is changing work. Sharp thesis. Grounded claims. Clear takeaway. Not longer than it needs to be. Not published until it passes all 7 gates.
Browse all issues →Some shifts don’t fit in a briefing. Deep Dives go long when a topic demands full investigation — research-grade analysis on a specific product, pattern, or pivot that operators need to understand before acting. Some Deep Dives ship with a companion Playbook — the operational layer underneath the thinking.
Read Deep Dive No. 002 →Signal Deep Dives are driven by what operators are actually running into. Tell us what’s confusing, shifting, or breaking in your work — we’ll investigate and report back.
🔒 We don’t publish submissions without permission. Anonymous is fine.
Every Signal issue, Deep Dive, and Playbook passes these seven gates before it publishes. The goal is not to sound smart. It is to be clear, grounded, useful, and worth your time. Use these gates to evaluate any AI content you read — not just Signal.
Question: Is this actually worth the reader’s time?
The article must identify a real shift, pattern, risk, or opportunity. Not noise. Not filler. Not a summary of random updates.
Question: Can a smart reader follow this without getting lost?
The article should simplify without dumbing down. Complex ideas must be translated into plain language, strong structure, and readable flow.
Question: Is this grounded, accurate, and honest?
Claims must be supportable. If something is inferred, frame it as inference. If something is uncertain, say so.
Question: Does this connect to real work and real people?
Every article should answer why this matters for consultants, operators, founders, or executives — not just AI enthusiasts.
Question: Did we push past the first obvious answer?
The article should not stop at surface commentary. It needs second-order thinking, tension, and deeper interpretation.
Question: Is this easy to absorb and visually coherent?
The article must be designed for attention, not just written for it. Pacing, visual breaks, diagrams, pull-lines, and spacing all matter.
Question: Does the reader leave with something useful?
Every article should leave the reader with one move to steal, one lens to keep, or one practical next step.
A Signal issue only publishes if it can honestly say: This matters. This is true. This is clear. This applies to real work. This goes deeper than the obvious. This is well designed. This gives the reader a move.
Signal goes out when there’s something genuinely worth your time. Never daily. Never filler. Free always. No paid tier, no premium archive, no upsell. Eleven issues published. Issue 011 — AI Is Making You Faster. It’s Also Making You Dependent. — just dropped. Deep Dive No. 002 — The Trust Layer — is live, paired with The Predicai Playbook. Issue 012 is in progress.