Multi-step workflows
Tasks requiring AI to perform several actions in a specific order to achieve a final outcome.
Multi-step workflows are tasks that need the AI to do several things in a specific order to finish a job. Think of it like following a recipe: you can't bake a cake without mixing the ingredients first, then baking it. The AI has to complete each step before moving on to the next.
For example, an AI might need to first read a document, then summarize it, and finally translate the summary into another language. Each of these actions is a step, and they must happen in that sequence for the overall task to be completed successfully.
Multi-step workflows involve a sequence of distinct actions or computations that an AI agent must perform to complete a complex task. This typically requires the AI to maintain state and context across multiple calls or internal processing stages. The ability to execute these workflows is crucial for developing sophisticated AI agents capable of planning and executing complex plans.
Recent advancements in AI models like Google's Gemini 3.5 Flash and the integration of models like Anthropic's Claude Fable 5 into Microsoft 365 Copilot highlight the growing capability of AI to handle complex, multi-step workflows. These developments suggest AI agents are becoming more adept at executing sequential tasks, enabling them to tackle more sophisticated coding and long-duration jobs.
- spark Gemini 3.5 FlashGoogle · Gemini Models ·
- spark Gemini 3.5 FlashGoogle · Gemini Models ·
- spark Gemini 3.5 FlashGoogle · Gemini Models ·
- Available today: Anthropic Claude Fable 5 in Microsoft 365 CopilotMicrosoft · Microsoft 365 Copilot Blog ·
- Google Gemini
- Google's Gemini 3.5 Flash model is noted for boosting AI agent performance in complex coding and long tasks, implying improved handling of multi-step workflows.
- Microsoft Copilot
- Microsoft 365 Copilot has integrated Anthropic's Claude Fable 5 model specifically to enable advanced, multi-step workflows.
- Single-step task
- A task that can be completed with a single AI prompt or action
- Parallel processing
- Performing multiple tasks or steps simultaneously rather th
- Conditional logic
- Workflows where the next step depends on the outcome of the p
The concept of multi-step workflows in AI is a natural extension of computational processes and task decomposition, formalized as AI agents became more capable of planning and executing sequences of actions.
In ChatGPT, try asking it to 'Write a short story about a robot who discovers music, then summarize the story in three sentences, and finally translate the summary into French.' Observe how it handles each part of the request sequentially.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Model pickChoose Gemini 3.5 Flash for speed and cost efficiencySelect Gemini 3.5 Flash for tasks requiring high speed, low cost, and agentic capabilities. · 5 min
- Model pickChoose Claude Fable 5 for longer, multi-step workflows in CopilotSelect Claude Fable 5 in Microsoft 365 Copilot for complex tasks needing context and iteration. · 5 min
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
Questions people ask
- What is an example of a multi-step workflow?
- An example is asking an AI to find information online, summarize it, and then draft an email based on that summary.
- Why are multi-step workflows important?
- They allow AI to tackle more complex problems that require multiple actions or stages, moving beyond simple, single-request tasks.
First seen on Subvolts Jun 11, 2026. Updated Oct 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.