Why this lesson exists
A catalogue of prompt habits that measurably degrade output, and the replacement for each.
What this lesson covers
This lesson sits in Module 3 — Prompting DeepSeek Well. It is scoped to a single 45-minute session with a concrete outcome at the end rather than a survey of the topic.
Learning objectives
- Spot an anti-pattern in a prompt you have already written
- Replace each with a specification-style alternative
- Build a personal pre-flight checklist
Session agenda
- 5 minFraming — why this exists and what you will be able to do
- 10 minCore concept — the idea, explained from first principles
- 15 minWorked walkthrough — watch it happen, with the real fields and output
- 10 minHands-on exercise — you run it and measure the result
- 5 minCheckpoint — recall questions and a note to your future self
Session outline
The full written lesson is in production. The session is built around the objectives above and follows the standard agenda: framing, the core concept explained from first principles, a worked walkthrough using the real API fields and outputs, a hands-on exercise you run yourself, and a recall checkpoint.
Every practical lesson in this course follows the same evidence rule — you run the thing and read the actual output rather than accepting a description of it. Where a lesson touches cost, you measure tokens and cache splits from the response. Where it touches code, you execute it. Where it touches design, you look at it at phone width.
Where it fits
| Position | Lesson |
|---|---|
| Previous | Context Engineering: 1M Tokens Without Losing the Plot |
| This lesson | The Anti-Patterns: What Makes DeepSeek Worse |
| Next | Anatomy of a One-Shot Prompt That Lands |
Checkpoint
At the end of this session you should be able to satisfy each of the learning objectives above without notes. If any one of them is still fuzzy, re-read that section before moving on — the next lesson assumes it.
Next
Anatomy of a One-Shot Prompt That Lands