That little "want me to go ahead and draft that?" your AI keeps asking is costing you more than you think. A VP of Product has a name for it: drip torture.
Matthew Wensing runs product at Customer.io and lives in Claude all day. He noticed the pattern every heavy user knows. You share one piece of context and the model immediately offers to produce the deliverable. Decline, and two messages later it offers again. Do you want me to write the thing. Do you want me to write the thing. His words: it almost feels like you're being coerced into saying yes.
Saying yes is exactly how slop gets made. The model has one data dump and zero knowledge of the ten constraints you haven't mentioned yet. The first draft arrives fast and confident, built on guesses. Now you spend the week tearing down a finished-looking document instead of building a correct one.
His comparison: a junior employee who hears the first instruction, wants to impress the boss, and sprints to the finish line without asking a single follow-up question. The work comes back polished and wrong.
The fix costs one sentence. When the nudging starts, he types: stop recommending the next step, I will tell you when I want the next thing. Kills the behavior for the rest of the session.
Then he does the opposite of what the tool is begging him to do. He rolls context in piece by piece, 50, 100, sometimes 200 turns, and only asks for the deliverable once the model has earned the right to produce it.
His leadership framing: anyone can microwave output now, so microwaved output is worth nothing. Slow cooking is what produces the doc an executive can't tell was AI-assisted.
Every yes to that nudge buys you a fast draft and a slow week.
Link
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Aakash Gupta (@aakashgupta)
This guy literally broke down how to use AI and NOT produce slop:
0:00 AI is a test
3:53 The 5am presentation
5:10 Never click "enhance"
6:19 Inventory before prompting
7:27 Dumping transcripts in
12:14 Matrix multiplication trick
13:50 Slides first, script second
15:08 Claude, the eager junior
17:04 "Stop suggesting next steps"
17:36 200 iterations beat one
17:53 Slop = micro hallucinations
18:44 Don't microwave output
19:02 The biology metaphor
20:20 Hide your real goal
22:05 When AI asks back
23:21 The game night rule
24:41 Layer complexity slowly
26:08 Reveal purpose last
27:29 Stress test the model
31:57 The unicorn name mistake
33:35 Claude confesses its weakness
38:48 Executives smell slop
40:56 The full weekly stack
43:05 The Slack scanner
45:06 The doc auditing bot
Video
— https://nitter.net/aakashgupta/status/2064476248596738543#m