Multimodal AI Workflows
Combining multiple AI modalities in a workflow produces results that no single modality could achieve. This topic shows how to chain text, image, and document prompts for complex tasks.
10 min•By Priygop Team•Updated 2026
Multimodal Workflow Examples
Multimodal Workflow Examples
# Multimodal workflow examples
# Workflow 1: Research report with visuals
research_workflow = [
"Step 1: Upload a PDF report. Prompt: 'Extract the 3 key findings from this report.'",
"Step 2: Upload the charts from the report. Prompt: 'What trend does this chart show?'",
"Step 3: Text prompt: 'Combine these findings and chart insights into a 200-word executive summary.'",
]
# Workflow 2: Content creation
content_workflow = [
"Step 1: Upload a product photo. Prompt: 'Describe this product for an e-commerce listing.'",
"Step 2: Text prompt: 'Improve this description to be more persuasive and SEO-friendly.'",
"Step 3: Image generation prompt: 'Create a lifestyle photo of this product in a kitchen setting.'",
]
# Workflow 3: Technical review
technical_workflow = [
"Step 1: Upload a UI screenshot. Prompt: 'Identify usability issues in this interface.'",
"Step 2: Text prompt: 'Turn these issues into a prioritized list of design recommendations.'",
"Step 3: Image generation: 'Create a simple wireframe showing an improved version of this layout.'",
]
for workflow_name, steps in [
("Research Report", research_workflow),
("Content Creation", content_workflow),
("Technical Review", technical_workflow),
]:
print(f"\nWorkflow: {workflow_name}")
for step in steps:
print(f" {step}")Diagram
Loading diagram…
Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence
Key Takeaways
- Multimodal workflows combine text, image, and document prompts for complex tasks
- Start with the raw input (image or document) and build analysis step by step
- Each step in the workflow should have a clear, specific prompt
- Multimodal workflows save time for tasks that previously required multiple tools
- Review the output at each step before moving to the next
Key Takeaways
- Combining multiple AI modalities in a workflow produces results that no single modality could achieve.
- Multimodal workflows combine text, image, and document prompts for complex tasks
- Start with the raw input (image or document) and build analysis step by step
- Each step in the workflow should have a clear, specific prompt