19d • Agentic AI Cohort - B1
Week 4 Extension - Why This Build Goes Beyond “Just Using ChatGPT”
This week’s Topic Finder & Ranker classwork led me to an important realization. LLMs are excellent writers. But they shouldn’t be the ones deciding what to say.
I extended the Week 4 build into an end-to-end content engine that uses an LLM as an executor, not a decision-maker.
What’s different from normal GenAI usage vs this Content writing engine?
When we use ChatGPT or any other GenAI tool directly, we usually ask:
- “Write a post on X”
- “Make it engaging”
- “Add a hook”
All strategic decisions are implicit and unstable. In this system, those decisions are explicit and frozen upstream.
How the system works:
1️⃣ Topic Finder / Ranker: Only topics with real “why now” signals enter the system. No random prompts.
2️⃣ Idea Classification (Editor Brain) - Before writing, the system decides:
- What kind of thinking this is
- The intent (authority, education, engagement)
- How safe or sharp the angle should be. This prevents format and intent confusion later.
3️⃣ Packaging Strategy (Creative Director Brain) Format is chosen before content:
- Carousel vs text
- Slide count
- Visual role per slide. The LLM does not “guess” formatting.
4️⃣ Execution Engine - Only after all decisions are locked:
- Post is written
- Carousel blueprint is generated
- PPT is auto-created via Python and Carousel prompt is generated for non-technical users.
Key learning
The value isn’t the writing. The value is structuring judgment around the LLM.
This build helped me understand the difference between:
- Prompting better vs
- Designing systems that think consistently
Still learning and iterating. Sharing mainly to document how my understanding of automation is evolving.
0
0 comments
Week 4 Extension - Why This Build Goes Beyond “Just Using ChatGPT”
