AI Prompt Chaining: Architecting Multi-Step LLM Pipelines for Dense B2B Carousels

The Failure of the 'Write Me a Carousel' Prompt

When a marketer gives an LLM a lazy prompt like 'Summarize this PDF into a 7-slide LinkedIn carousel', the result is predictably underwhelming: superficial bullet points, cliché motivational fluff, and zero tactical nuance.

High-impact technical content creation requires Prompt Chaining—breaking the generative process into sequential, specialized computational stages.

The 4-Stage Architectural Chain

[Raw 50-Page Whitepaper]
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[Step 1: The Contrarian Extractor] ──> Isolate the 3 counter-intuitive findings that challenge consensus.
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[Step 2: The Narrative Architect]  ──> Outline an 8-slide emotional progression (Problem -> Stakes -> Solution).
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[Step 3: The Micro-Copy Stylist]   ──> Draft concise, punchy slide copy (< 40 words per slide) with visual cues.
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[Step 4: The SVG / Remotion Coder] ──> Output deterministic code for visual diagram layout and high-res export.

By separating concept extraction from copy formatting and visual styling, each model iteration achieves peak density and intellectual rigor.