VQV Signal

AI AT WORK WATCH TECHNICAL

Post on X claims AI made a developer 100x more productive, with no figures given

According to a post on X by @tdesseyn, he agreed with a post by @adamdotdev, who wrote that he is at least 100x more productive than before AI and can get more done in a day while running errands than in a month chained to his desk. @tdesseyn added that his output is up and that his work has become "a little screen activity" rather than a big-screen one. The source notes that both claims are personal and have no figures behind them.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-09T02:55:00+00:00 Detected 2026-11-09T18:23:47+00:00
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According to a post on X by @tdesseyn, he agreed with a post by @adamdotdev, who wrote that he is at least 100x more productive than before AI and can get more done in a day while running errands than in a month chained to his desk. @tdesseyn added that his output is up and that his work has become "a little screen activity" rather than a big-screen one. The source notes that both claims are personal and have no figures behind them.

AI-assisted summary based on the listed source.

@tdesseyn agreed with @adamdotdev, who wrote that he is at least 100x more productive than before AI and can get more done in a day while running errands than in a month chained to his desk. Tdesseyn added that his output is up and his work has become "a little screen activity" rather than a big-screen one. Both...

These are personal anecdotes, not measured results, so they should not be read as evidence of how much AI changes productivity. Developers and teams weighing AI tools may find the idea of work moving away from the desk relevant, but the post gives no data on output, method or time saved. Watch for figures or independent measurements that would test these claims.

Teams using AI at work may want to compare this against current productivity and review workflows.

Signal Strength 80% Technical label WATCH Public Interest 27 Category AI AT WORK Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 20 Novelty Interest Score 70 Consequence Score 22 Curiosity Score 16 Shareability Score 45

VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).