Agentic Workflow | HyperKit.ai

Definition

An agentic workflow is a structured pattern where AI agents autonomously execute multi-step tasks through iterative cycles of planning, action, observation, and refinement. Unlike simple prompt-response interactions, agentic workflows enable complex problem-solving with tool use and self-correction.

Agentic workflows are the blueprints for how AI systems accomplish real-world tasks independently.

Key Concepts

Orchestration: Coordinating multiple steps and tools
Iteration: Loops that refine results until satisfactory
Checkpoints: Human approval gates for critical decisions
Fallbacks: Error handling and recovery strategies

Examples

Patterns

Common Agentic Workflow Patterns

AGENTIC WORKFLOW PATTERNS:

1. LINEAR WORKFLOW
   ┌────┐   ┌────┐   ┌────┐   ┌────┐
   │ A  │ → │ B  │ → │ C  │ → │ D  │
   └────┘   └────┘   └────┘   └────┘
   Simple sequential execution

2. ITERATIVE REFINEMENT
   ┌────────────────────────────┐
   │    ┌────┐      ┌────┐     │
   │    │Draft│ → │Critique│   │
   │    └────┘      └────┘     │
   │       ↑          │        │
   │       └──────────┘        │
   │         Loop until good   │
   └────────────────────────────┘

3. ROUTER/DISPATCHER
         ┌────────┐
         │ Router │
         └────┬───┘
              │
    ┌─────────┼─────────┐
    ↓         ↓         ↓
 ┌────┐   ┌────┐   ┌────┐
 │Code│   │ QA │   │Math│
 └────┘   └────┘   └────┘
 Specialized agents for different tasks

4. PARALLEL EXECUTION
   ┌────┐   ┌────┐   ┌────┐
   │ A  │   │ B  │   │ C  │
   └──┬─┘   └──┬─┘   └──┬─┘
      │        │        │
      └────────┼────────┘
               ↓
           ┌────────┐
           │Combine │
           └────────┘
   Multiple tasks executed simultaneously

Example

Code Review Agentic Workflow

CODE REVIEW WORKFLOW:

┌──────────────────────────────────────────────┐
│              CODE REVIEW AGENT               │
├──────────────────────────────────────────────┤
│                                              │
│  1. FETCH                                    │
│     └─→ Get PR diff from GitHub              │
│                                              │
│  2. ANALYZE (parallel)                       │
│     ├─→ Security scan                        │
│     ├─→ Style check                          │
│     └─→ Logic review                         │
│                                              │
│  3. SYNTHESIZE                               │
│     └─→ Combine findings into report         │
│                                              │
│  4. ITERATE                                  │
│     └─→ If critical issues:                  │
│         └─→ Request more context             │
│         └─→ Re-analyze specific sections     │
│                                              │
│  5. REPORT                                   │
│     └─→ Post review comments on PR           │
│                                              │
│  6. CHECKPOINT (if blocking issues)          │
│     └─→ Request human review                 │
│                                              │
└──────────────────────────────────────────────┘

WORKFLOW DEFINITION (pseudo-code):

async def code_review_workflow(pr_url):
    # Fetch PR
    diff = await github.get_diff(pr_url)

    # Parallel analysis
    results = await asyncio.gather(
        security_agent.analyze(diff),
        style_agent.analyze(diff),
        logic_agent.analyze(diff)
    )

    # Synthesize
    report = synthesize_report(results)

    # Iterate if needed
    while has_unclear_issues(report):
        context = await get_more_context()
        report = refine_report(report, context)

    # Human checkpoint for critical issues
    if has_critical_issues(report):
        await request_human_review(report)

    return post_review_comments(pr_url, report)

Interactive Exercise

✎

Design a Workflow

Design an agentic workflow for a "Blog Post Writer" agent. What steps would it take? Where would it iterate? Where would it need human input?

Pro Tips

Start with the simplest workflow that works, then add complexity
Always include timeout limits on iterative loops
Log every step for debugging and audit trails
Design graceful degradation when tools fail

Definition

Key Concepts

Examples

Interactive Exercise

Related Terms