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Workflows that actually orchestrate - not just sequential agent calls. Each example demonstrates real workflow value: phase caching, parallel coordination, or conditional routing. 
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.workflow import Workflow, Step

researcher = Agent(name="Researcher", model=OpenAIResponses(id="gpt-5.2"))
writer = Agent(name="Writer", model=OpenAIResponses(id="gpt-5.2"))

workflow = Workflow(
    name="Content Pipeline",
    steps=[
        Step(name="Research", agent=researcher),
        Step(name="Write", agent=writer),
    ],
)

workflow.print_response("AI trends in 2025")

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Examples

Blog Post Generator

Three-phase pipeline with session caching. Research → Extract → Write.

Company Description

Parallel data gathering from 4 sources, then synthesis.

Employee Recruiter

Conditional branching: only interviews candidates above score threshold.

Notion Manager

Classification → routing to create/update/search Notion pages.

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Workflow Patterns

PatternExampleDescription
Sequential + CachingBlog Post GeneratorPhase checkpoints for efficiency
Parallel → SequentialCompany DescriptionGather concurrently, then synthesize
Conditional BranchingEmployee RecruiterDifferent paths based on output
Classification RoutingNotion ManagerRoute to different actions by type
See Workflow Patterns for detailed documentation.