Combining Multiple AI Tools Into One Workflow
Individual AI tools are powerful on their own. But the greatest productivity gains come from combining the right tools in a deliberate, connected workflow — where the output of one tool feeds directly into the next. This topic covers how to design a personal AI stack: a small, chosen set of tools that work together to handle a large portion of everyday work automatically and efficiently.
What is an AI Stack?
An AI stack is a curated combination of AI tools that together cover the main areas of a person's or team's work. Each tool plays a specific role, and they are connected — either manually through copy-paste workflows, or automatically through integration tools like Zapier.
A simple AI stack for a professional might include:
- ChatGPT or Claude — general writing, research, and problem-solving
- Grammarly — real-time grammar and tone checking across all tools
- Otter.ai — meeting transcription and summarisation
- Notion AI — organising notes, plans, and project information
- Canva AI — visual content creation
- Zapier — automating connections between tools
Designing a Workflow, Not a Tool Collection
The most common mistake when adopting AI tools is collecting tools without a plan. Signing up for ten tools and using each one occasionally produces minimal results. A workflow approach is different — it starts with a work process and identifies exactly where each tool fits.
The Four-Step Workflow Design Process
- Map the process: Identify a specific, repeatable work process — for example, producing a weekly newsletter
- Break it into steps: List every step in that process from start to finish
- Identify AI opportunities: For each step, ask whether AI can handle or assist with it
- Select the right tool: Choose the best AI tool for each step and define how the output flows to the next step
Complete Workflow Example 1 — Weekly Newsletter Production
Without AI: 4–5 hours of research, writing, editing, and designing
With AI stack: 45–60 minutes of review and personalisation
The Process
| Step | Task | AI Tool Used |
|---|---|---|
| 1 | Find this week's most relevant industry news | Perplexity.ai or Gemini with web search |
| 2 | Write a short commentary on each news item | ChatGPT or Claude |
| 3 | Check grammar and tone across the whole newsletter | Grammarly |
| 4 | Create the newsletter header image | Canva AI |
| 5 | Build and send the newsletter | Mailchimp (with Zapier automation to schedule) |
| 6 | Post a teaser on LinkedIn automatically after sending | Zapier (triggers LinkedIn post on send) |
Complete Workflow Example 2 — New Client Onboarding
Without AI: 2–3 hours of emails, document creation, and setup tasks
With AI stack: 20–30 minutes of oversight and personalisation
The Process
| Step | Task | AI Tool Used |
|---|---|---|
| 1 | Client signs contract and Zapier detects the event | Zapier (trigger: new signed contract) |
| 2 | Welcome email sent automatically | Zapier + pre-built Gmail template |
| 3 | Onboarding Notion page created for the client | Zapier + Notion |
| 4 | Personalised onboarding guide drafted | Claude or ChatGPT |
| 5 | First meeting agenda generated | ChatGPT |
| 6 | First meeting transcribed and summarised | Otter.ai |
| 7 | Meeting summary emailed to the client | ChatGPT draft → Gmail send |
Complete Workflow Example 3 — Weekly Work Planning
The Process
| Step | Task | AI Tool Used |
|---|---|---|
| 1 | Review last week's incomplete tasks and notes | Notion AI (summarise last week's page) |
| 2 | Generate this week's priorities and daily plan | ChatGPT (input: task list + calendar) |
| 3 | Block time in the calendar | Reclaim.ai (AI-scheduled time blocks) |
| 4 | Send team briefing email for the week | ChatGPT draft → Gmail or Outlook |
Principles for Building a Sustainable AI Workflow
Start With One Workflow
Choose the single most repetitive, time-consuming workflow to automate first. Perfect that before expanding. The temptation to automate everything at once leads to complexity and tools that never get fully used.
Use the Minimum Number of Tools
Every tool added is a tool to learn, maintain, and pay for. A workflow with three well-integrated tools is more powerful than one with ten loosely connected ones.
Review and Refine Regularly
AI tools update frequently — features improve, new capabilities appear. Revisiting workflows quarterly ensures they use the best available tools for each step.
Keep Humans in the Final Review Loop
Fully automated AI output that goes directly to a client or the public without human review is a risk. Build a human review step into every external-facing output — a quick read before send, not a full rewrite.
Using AI to Design a Workflow
AI can help design the workflow itself — not just execute tasks within it.
Prompt:
"I am a freelance social media manager. My main recurring tasks are: monthly content planning, creating posts for 3 platforms, scheduling posts, reporting monthly analytics to clients, and onboarding new clients. Suggest a complete AI-powered workflow for each of these tasks, specifying the best tool for each step and where automation can replace manual work. I use Google Workspace and have a Canva Pro account."
Key Takeaway
The highest-impact AI productivity upgrade is not using a single tool well — it is building a connected workflow where the right tool handles each step of a repeatable process. Start by mapping one workflow from start to finish, identify the AI opportunities in each step, and choose the minimum set of tools needed to cover them. Once one workflow is working well, expand to the next. Combined AI workflows can reduce multi-hour tasks to under an hour of oversight — producing the same or better quality output.
The final topic covers Building a Personal AI Productivity System — designing a complete, personalised AI setup that works across all areas of professional and personal life.