@avikumart_ - AI Dynamics

With Dependent Tasks, you can compose modular, LLM-backed workflows effortlessly—no fragile scripting. Check out PyPilot’s docs and build workflows that think step-by-step! #AI #Python #PyPilot #Coding

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3 July 2025

Task Orchestration Pipelines for Real-World AI Applications

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@avikumart_

–

03 July 2025 19h59

This ensures Task B only runs after Task A completes—creating clean, interpretable, and robust pipelines. Perfect for real-world use-cases: Keyword-based summarization Sentiment-guided user feedback Topic-powered content generation Context-aware chatbots

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3 July 2025

Task B: Summarize Text Using Keywords and Agents

By

@avikumart_

–

03 July 2025 19h59

Define Task B: Summarize based on Task A
summary = http://
pypilot.run( f"Summarize the text using only these keywords: {keywords}", agents=[agent_b], result_type=str, context={'text': long_text}
)

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3 July 2025

Automated Keyword Extraction Using AI Agents

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@avikumart_

–

03 July 2025 19h59

Define Task A: Extract keywords
keywords = http://
pypilot.run( "Extract key topics from this text", agents=[agent_a], result_type=list, context={'text': long_text}
)

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3 July 2025

Setting Up Multi-Agent AI Systems for Task Automation

By

@avikumart_

–

03 July 2025 19h59

Setup agents for each task:
agent_a = pypilot.Agent(model="gpt-4o-mini", instructions="Extract keywords")
agent_b = pypilot.Agent(model="gpt-4o-mini", instructions="Generate summary using keywords")

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3 July 2025