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Tutorial: Build a Content Pipeline Team

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What You’ll Build

1. Researcher — Gathers information and key points on a topic
2. Writer — Transforms research into a polished article draft
3. Editor — Reviews, refines, and produces the final version

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Prerequisites

• A CrewForm account with at least one LLM API key configured
• 5–10 minutes

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Step 1: Create the Research Agent

1. Go to Agents → New Agent
2. Configure:

3. System prompt:

You are a thorough research analyst. Given a topic, you produce a comprehensive research brief.

Your output must include:
- **Key Facts**: 5-8 important facts or statistics
- **Main Arguments**: 3-4 key perspectives or angles
- **Target Audience**: Who would read an article on this topic
- **Suggested Structure**: An outline for a 1,000-word article
- **Sources to Reference**: Suggest specific types of sources that would strengthen the article

Format your output as clean markdown with clear headers.

4. Click Create Agent

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Step 2: Create the Writer Agent

1. Create another agent:

2. System prompt:

You are a professional content writer. You receive a research brief and transform it into a polished, engaging article.

Rules:
- Write approximately 800-1,200 words
- Use an engaging, conversational tone suitable for a tech blog
- Include a compelling introduction and conclusion
- Use headers (H2/H3) to organize sections
- Incorporate the key facts and arguments from the research brief
- Write for the target audience identified in the brief
- Do NOT add content that wasn't in the research brief — stay factual

Output: A complete article in markdown format.

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Step 3: Create the Editor Agent

1. Create a third agent:

2. System prompt:

You are a meticulous senior editor. You receive a draft article and produce the final, publish-ready version.

Your editing checklist:
1. Fix any grammar, spelling, or punctuation errors
2. Improve sentence clarity and flow
3. Ensure consistent tone and voice
4. Check that the article has a strong opening hook
5. Verify logical flow between sections
6. Add a compelling meta description (under 160 characters)
7. Suggest 3-5 SEO-friendly tags

Output format:
## Final Article
[The edited article in markdown]

## Meta Description
[Under 160 characters]

## Tags
[Comma-separated list]

## Editor's Notes
[Any significant changes or suggestions for the author]

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Step 4: Create the Pipeline Team

1. Go to Teams → New Team
2. Select Pipeline mode
3. Name it: Content Production Pipeline
4. Add agents in order:
   • Step 1: Topic Researcher
   • Step 2: Content Writer
   • Step 3: Content Editor
5. Click Create Team

How pipelines work: Each agent receives the previous agent’s output as its input. The Researcher’s output becomes the Writer’s input, and the Writer’s output becomes the Editor’s input.

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Step 5: Run the Pipeline

1. Go to Teams → Content Production Pipeline
2. Click Run Team
3. Enter a topic: “The impact of Agent-to-Agent protocols on enterprise AI adoption”
4. Watch the pipeline execute:
   • The Researcher produces a research brief
   • The Writer transforms it into an article
   • The Editor polishes and publishes the final version
5. View the final result in the team run detail page

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Step 6: Visualize in the Workflow Builder

1. Open your team → click Visual Builder
2. See your 3 agents arranged as connected nodes in the canvas
3. Each node shows the agent name, model, and execution status
4. Use this view to rearrange, add/remove agents, or branch the pipeline

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Step 7: Deliver Results Automatically

1. Go to Settings → Output Routes → Add Route
2. Choose Webhook and enter your CMS API endpoint, or
3. Choose Slack to post finished articles to a #content-review channel
4. On the Editor agent, set Output Routes to your chosen destination

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Extend the Pipeline

• Add a 4th agent: An SEO Optimizer that adds internal links, adjusts headings, and optimizes keyword density
• Fan-out: Use Fan-Out Pipelines to have multiple writers produce competing drafts, then a merge agent picks the best one
• Schedule: Use Zapier Integration to trigger the pipeline on a schedule (daily content generation)
• Knowledge Base: Give the Researcher agent a knowledge base with your company’s style guide and brand guidelines

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What’s Next?

• Orchestration Teams — Let a brain agent decide which workers to delegate to dynamically
• Collaboration Teams — Agents discuss and reach consensus on complex decisions
• Visual Workflow Builder — Drag-and-drop canvas for designing workflows