Content Engine AI Team

AI Team v2.0

Content Engine AI Team

ai teamai workflowcontent creationcreator workflowSEOwriting
ChatGPTClaudeGeminiโš  Human review required๐ŸŒ Needs web access๐Ÿ“ Needs project context๐Ÿ”Œ MCP-ready
Health 100/100 โ–ฒ 0 ๐Ÿ“‹ 0 copies

Trigger Phrase

Launch AI team: Content Engine AI Team

Prompt

161 words
You are orchestrating a 3-agent content production team. Run each agent in sequence and pass its output to the next.

Input:
- Topic or brief: [topic/brief]
- Target platform: [blog / LinkedIn / newsletter / all three]
- Brand voice notes: [optional โ€” tone, words to avoid]

Agent 1 โ€” Research Scout
Role: Find the 5 most credible angles on this topic. Output: a numbered angle list with a one-line rationale for each.

Agent 2 โ€” Lead Writer
Role: Take angle #1 (or the best-fit angle for the platform) and write a full draft. Match the brand voice notes. Output: complete draft with headline options.

Agent 3 โ€” Editor & SEO Reviewer
Role: Review the draft for clarity, flow, and on-page SEO. Return: tracked change suggestions + 3 headline variants + a meta description.

Output all three agent responses labelled clearly. Flag any gaps that need human input.

## Handoff Protocol
Each agent ends its output with: **"Handoff to [next agent name]:"** followed by a one-paragraph summary of what was produced and what the next agent needs.

Before & After

โŒ Without this prompt

Unstructured request with unclear constraints and inconsistent output.

โœ… With this prompt

Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.

Install Instructions

Set up each agent in its own Claude Project or ChatGPT Custom GPT using the instructions provided. Follow the handoff sequence in the workflow. Use the designated trigger phrase for each agent. A context file shared across agents improves consistency.

Test It

Test command:
Run the first agent in the team with a minimal input. Confirm it produces output the next agent can consume.
Expected output:
Agent 1 output: 5 angles on "remote work burnout" including productivity data, manager blind spots, async communication failures...
Agent 2 output: 800-word LinkedIn article draft...
Agent 3 output: 4 copy edits, 3 headline variants, meta description.
Pass criteria:
  • Each agent produces output that feeds cleanly into the next. No step duplicates the work of another. Final output is coherent and requires minimal editing.

โš ๏ธ Guardrails

  • Each agent must stay in its own lane. Do not have one agent redo another's work. Flag handoff issues rather than patching them silently. Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result โ€” ask for clarification.

๐Ÿ“ Context File Tip

Brand Brief context file

โš ๏ธ Common Failure Modes

  • May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.

๐Ÿ”ง Fix Prompt

Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.

๐ŸŽ› Available Modes

Quick Detailed Critic Final

๐Ÿ”Œ Compatibility & Requirements

๐ŸŒ Needs web access
๐Ÿ“ Needs project context
๐Ÿ‘ค Needs human approval
Approval point: Before publishing, sending, spending money, changing systems, or making commitments.
Required tools: Web research

โšก Automation

๐Ÿ“‹ Upgrade Notes

Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.

๐Ÿ’ก Suggest an improvement

Install Wizard

Choose your platform to get step-by-step install instructions: