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How are you preparing your product infrastructure to support agentic workflows, particularly around API design, tool integration, and handling multi-step autonomous tasks?

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2 Answers
AI Product Management
  1. Adrianne Wang Martinson
    Adrianne Wang Martinson

    TikTok Head of Product, AI-powered Automated Services | Formerly Airbnb, Microsoft, Salesforce, Box • 4mo

    A common approach building agentic workflows is to focus on model capability; however, the true differentiator is the operational infrastructure that allows agents to act safely and predictably in the real world. The most critical pillars are: 1. Observability: From Black Box to White Box Agentic workflows involve non-linear, multi-step reasoning. Without visibility, failures feel random and unfixable. Infrastructure Requirement: We move beyond simple request/response logs to Traceable Reasoning ...Read More

    487 Views
  2. Paresh Vakhariya
    Paresh Vakhariya

    Atlassian Director of Product Management (Confluence) | Formerly PayPal, eBay, Intel, Verizon • 6mo

    • Standardize your internal APIs so agents can reliably trigger actions, retrieve context, and store outputs.• Introduce task orchestration primitives for multi step actions: retries, fallbacks, and conflict resolution.• Build safe execution sandboxes • Add a central “agent runtime layer” that handles memory, context stitching, error handling, and step-by-step observability.• Set up rate limiting, quota management, and service isolation to ensure agent workloads don’t degrade core product perfor ...Read More

    675 Views

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