Editing The Prompt Chain

''Build a multi-step AI workflow where each step's output feeds into the next. 25 minutes.''

<blockquote>
'''One-liner:''' Build a multi-step AI workflow where each step's output feeds into the next — turning a complex task into a repeatable pipeline.
</blockquote>

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== 🔧 Jump in (Tinkerers start here) ==

Pick a task that has at least 3 distinct phases. Examples: writing a blog post (research, outline, draft, edit), analyzing a dataset (clean, analyze, summarize, recommend), or preparing a presentation (topic research, slide structure, talking points, Q&A prep).

'''Build a 3-step chain.''' Each step is a separate prompt. The output of each step becomes the input of the next.

'''Step 1 — Research/Gather:'''
<blockquote>
You are a research assistant. Your job is to gather the raw material for '''[your task]'''.

Topic/context: '''[describe what you're working on]'''

Produce a structured collection of: key facts, relevant examples, important considerations, and any constraints. Organize by theme. Do not draft anything — just collect the ingredients.
</blockquote>

Copy the output. Start a new prompt (or clearly reset context).

'''Step 2 — Structure/Draft:'''
<blockquote>
You are a content architect. Your job is to turn raw research into a structured draft.

Here is the research material: '''[paste Step 1 output]'''

The final deliverable is: '''[describe what you need — a blog post, a report, a strategy doc, etc.]'''

Create a structured draft. Include clear sections, key arguments in order, and placeholders for any examples or data points from the research. Focus on logical flow and completeness.
</blockquote>

Copy the output. Start a new prompt.

'''Step 3 — Polish/Critique:'''
<blockquote>
You are a senior editor. Your job is to make this draft publication-ready.

Here is the draft: '''[paste Step 2 output]'''

The audience is: '''[describe who will read this]'''

Do three things:
1. Improve clarity — simplify any convoluted sentences, cut unnecessary words
2. Strengthen weak points — flag any claim that needs better support and add it
3. Check consistency — ensure tone, terminology, and formatting are uniform throughout

Produce the final version with an editor's note listing your key changes.
</blockquote>

'''Now document the chain.''' Write down the 3 prompts as a reusable template (with [PLACEHOLDERS] for the parts that change). You've just built a prompt pipeline.

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== 📋 Plan first (Planners start here) ==

Here's what you're about to do:
# '''Choose a multi-phase task''' — Something that naturally has distinct stages (research → create → refine). The more phases, the more the chain helps.
# '''Design the chain''' — Write 3 prompts, each with a clear role, input expectation, and output format. The key constraint: each step's output must contain everything the next step needs.
# '''Run the chain''' — Execute each step sequentially, passing the output forward. Use fresh contexts between steps to prevent bleed-through.
# '''Evaluate information flow''' — Notice where context was lost between steps. What did Step 3 need that Step 2 didn't preserve?
# '''Document as a template''' — Save the chain with placeholders so you can reuse it for the same type of task.

'''"Done" looks like:''' A completed deliverable that went through a 3-step pipeline, plus a documented prompt chain template with placeholders for reuse.

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== 🧭 Why this matters (Strategists start here) ==

In [[The Reusable Prompt|WA-Basic-01]], you built a single reusable prompt. Here, you're learning to '''chain prompts into a workflow''' — the building block of all production AI automation. Every AI-powered pipeline (content generation, data analysis, document processing) is fundamentally a prompt chain with handoffs. The skill you're building — decomposing a task into stages, defining clear inputs and outputs, managing context between steps — is the same skill used in tools like n8n, Zapier AI, or custom LLM pipelines. Manual chaining teaches you what to automate and where the bottlenecks live.

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== Reflection ==
* Where did context get lost between steps? What information did a later step need that an earlier step didn't pass along?
* Did the 3-step chain produce better output than a single "do everything" prompt? Where specifically was the improvement?
* Which step in the chain was the weakest link? How would you redesign it?
* 💬 ''Have a colleague run your documented chain on a different task of the same type. Their experience reveals whether your chain is truly reusable or depends on your implicit knowledge.'' (Social Learners)

== ⬆️ Level up ==

Ready for more? Try [[The Workflow Blueprint|WA-Advanced-01]] — where you'll design and document a complete AI-automated workflow for a business process.

Back to [[Workflow Automation|Workflow Automation]]


[[Category:AI Fluency Playbook]]
[[Category:Exercises]]
[[Category:Workflow Automation Exercises]]