Advanced Prompting • April 06, 2026
Prompt Chaining: Modular Logic Design
Moving beyond 'One Big Prompt'. Learn to chain outputs for near-perfect results.
Tutorial: Designing a 3-Stage Prompt Chain
In 2026, we don't write prompts; we design Pipelines. This tutorial teaches you the "Modular Logic" used by senior AI engineers.
The Objective
Build a content engine that researches, writes, and audits itself in three distinct phases to ensure zero errors.
Core Logic: Sample Implementation
Note: This workflow is a specialized example of the broader protocol. The core logic defined here can be adapted for any industry or use case.
- The Research Phase: Input: Subject. Output: Bullet points.
- The Creative Phase: Input: Bullet points. Output: Full Draft.
- The Audit Phase: Input: Full Draft. Output: Error Report.
The Laboratory (Copy-Paste Template)
The Content Pipe:
[CHAIN 1]: Act as a Researcher. Analyze [TOPIC] and give 5 facts.
--- NEXT ---
[CHAIN 2]: Act as a Copywriter. Write a post using the 5 facts from previous step.
--- NEXT ---
[CHAIN 3]: Act as a Critic. Find 3 ways the previous post could be clearer.
Practical Use Cases
- Writing Reports: Chain 1 (Outline) -> Chain 2 (Drafting) -> Chain 3 (Audit).
- Data Engineering: Chain 1 (Cleansing) -> Chain 2 (Mapping) -> Chain 3 (Export).
Summary: Key Takeaways
| Concept | Core Logic | Complexity | Main Benefit |
|---|---|---|---|
| Atomic Prompts | Focus on one task | Medium | Higher accuracy |
| Feedback Loops | Self-Correction | High | Error-free complex work |
| Pipelines | Automated Hand-offs | High | Industrial-scale content |