Скачать или смотреть 2. Prompt Chaining: Step-by-Step Workflows That Actually Work

Want consistent results from LLMs? Start with Prompt Chaining. In this video, I break down Pattern 01—how to turn a big ask into clear, sequential prompts with built-in checks. You’ll see where chaining helps, where it hurts, and how to measure improvement (quality, latency, cost).

You’ll learn

When to chain vs. one-shot prompts

The 4-step chaining template: Plan → Gather → Draft → Review

How to add guardrails (criteria, refusals, constraints)

Fast evaluation: success rate, token cost, latency

Real examples for core industries (BFSI, Healthcare, Retail, Manufacturing)

Quick-start template

Plan: Ask the model to outline steps & assumptions

Gather: Retrieve facts/data with explicit constraints

Draft: Produce output to spec (format + length)

Review: Self-check against acceptance criteria; fix or flag

Who this is for
Engineers, PMs, data/ML folks who want repeatable, auditable outputs—beyond “prompt once and pray.”

Resources
• Anthropic’s “Building Effective Agents” (source for patterns)
• My prompt templates + mini-checklist are in the video

If this helped, subscribe for the full series: Tools, Memory/RAG, Planning, Safety, Evaluation, and Rollouts.

Timestamps:
00:00 Intro & Problem
01:00 Template + Example
04:30 Pitfalls, Evaluation & Wrap

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