A multi-agent prompt workflow splits one task across 3 AI roles: a researcher that gathers context, a writer that produces the draft, and a reviewer that catches errors and improves quality. Running all three in sequence produces output that's 2 to 3 times better than a single prompt. At aidowith.me, our 12-step route walks you through designing each agent's instructions, connecting their outputs, and running the full chain. You'll build the workflow for one deliverable (a report, blog post, or brief) and then adapt it to other tasks. The researcher agent pulls in relevant data and context. The writer agent creates a structured draft. The reviewer agent checks facts, tightens language, and flags weak sections. The full chain runs in about 10 minutes. Once built, you reuse it with different inputs each time. The route also walks you through how to run the chain inside a single ChatGPT conversation using thread management techniques.
Last updated: April 2026
The Problem and the Fix
Without a route
- Single AI prompts produce drafts that need 30-45 minutes of manual editing and fact-checking
- You run the same prompt 3-4 times, tweaking wording, hoping for a better result each time
- AI output lacks depth because you can't fit research and writing into one prompt
With aidowith.me
- Three specialized agents produce output 2-3x better than a single prompt
- Research, writing, and review happen in sequence without manual handoff between steps
- Build the workflow once and reuse it across reports, posts, briefs, and more
Who Builds This With AI
Marketers
Content, campaigns, and briefs done in hours instead of days.
Sales & BizDev
Prep calls, draft outreach, research prospects in minutes.
Managers & Leads
Reports, presentations, and team comms handled faster.
How It Works
Design Your Three Agents
Define the researcher, writer, and reviewer roles with specific instructions, tone, and output format for each.
Connect the Chain
Set up the output of each agent as the input for the next. The researcher feeds the writer, the writer feeds the reviewer.
Run and Refine
Execute the full chain on a real task. Review the final output, then adjust each agent's instructions to improve quality.
Build Your Multi-Agent Workflow
Chain research, drafting, and review into one automated sequence for better AI output.
Start This Route →What You Walk Away With
Design Your Three Agents
Connect the Chain
Run and Refine
Build the workflow once and reuse it across reports, posts, briefs, and more
"I built a research-draft-review chain for client reports. The output went from 'needs heavy editing' to 'ready to send with minor tweaks.'"- Strategy Consultant, management consulting
Questions
It's a chain of 3 AI prompts, each playing a different role. The first gathers and organizes research. The second writes a draft using that research. The third reviews the draft for quality, accuracy, and tone. You run them in sequence for better results. The route on aidowith.me walks you through each step with specific examples so you can apply this immediately to your real work.
You can run this in ChatGPT, Claude, or any AI that supports long conversations. The route shows you how to structure the chain in a single chat session or across separate sessions. No special tools or plugins required. The route on aidowith.me walks you through each step with specific examples so you can apply this immediately to your real work.
About 10 minutes for a standard deliverable like a report or blog post. The researcher takes 2-3 minutes, the writer takes 3-4 minutes, and the reviewer takes 2-3 minutes. Your main time investment is designing the agents, which you do once. The route on aidowith.me walks you through each step with specific examples so you can apply this immediately to your real work.