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Workflow Design

16 articles · Page 1 of 1
PMTalk Product Manager Community
PMTalk Product Manager Community
Sep 28, 2026 · Product Management

GPT-6 Astra's Computer-Use: 3 Moves AI Product Managers Must Make Now

The article analyzes how GPT-6 Astra's Computer-Use capability shifts AI from chat to action, requiring product managers to redesign workflows for agent handoff, establish human-AI collaboration principles (visibility, pause points, takeover), and build vertical data flywheels to train domain-specific agents.

AI Product ManagementAgent AutomationData Flywheel
0 likes · 9 min read
GPT-6 Astra's Computer-Use: 3 Moves AI Product Managers Must Make Now
Frontline Investigation
Frontline Investigation
Aug 23, 2026 · Artificial Intelligence

Why Exception Queues Become the Bottleneck After AI Accelerates Workflows

When AI speeds up standard workflow steps, uncertainty concentrates in exception queues, requiring a design framework that classifies exceptions by actionability, enables context-rich handoffs between AI, RPA, and humans, and turns exceptions into a learning system rather than a technical backlog.

AI automationProcess AutomationRPA
0 likes · 10 min read
Why Exception Queues Become the Bottleneck After AI Accelerates Workflows
PaperAgent
PaperAgent
Jul 11, 2026 · Artificial Intelligence

A Systematic Overview of Harness Engineering for AI Self‑Improvement

The article presents a detailed technical survey of Harness Engineering, explaining how it extends classic agent architectures with workflow design, persistent state, and sub‑agent orchestration, and traces its evolution through ACE, MCE, and Meta‑Harness as a practical pathway toward recursive self‑improvement.

AI AgentsContext ManagementHarness Engineering
0 likes · 12 min read
A Systematic Overview of Harness Engineering for AI Self‑Improvement
PMTalk Product Manager Community
PMTalk Product Manager Community
Jun 7, 2026 · Product Management

Why AI Product Managers Must Rethink Their Core Logic in the Multi‑Agent Era

The article explains that multi‑agent architectures solve three structural bottlenecks of single‑agent AI—context length, mixed expertise, and latency—by narrowing each agent’s scope, and then guides AI product managers through four essential design decisions, from task decomposition to human‑in‑the‑loop handling, to determine when and how to adopt multi‑agents.

AI Product ManagementMulti-agentTask Orchestration
0 likes · 16 min read
Why AI Product Managers Must Rethink Their Core Logic in the Multi‑Agent Era
IT Services Circle
IT Services Circle
May 23, 2026 · Artificial Intelligence

Why Most People Can’t Benefit from AI Agents – They Don’t Even Know Their Daily Tasks

The author argues that despite the hype around AI agents like OpenClaw, most users fail to improve efficiency because they cannot clearly define their daily work, and proposes an open‑source “Agent Workflow Designer” skill that guides users to map, analyze, and gradually automate their tasks through structured questioning and phased implementation.

AI AgentsOpenClawWorkflow Design
0 likes · 10 min read
Why Most People Can’t Benefit from AI Agents – They Don’t Even Know Their Daily Tasks
PMTalk Product Manager Community
PMTalk Product Manager Community
Mar 29, 2026 · Product Management

Why AI Product Managers Must Rethink Their Core Logic in the Multi‑Agent Era

The article explains how multi‑agent architectures reshape AI product management by exposing structural bottlenecks of single agents, outlines when and how to decompose tasks, and provides concrete design decisions—including orchestration, context passing, failure handling, and human‑in‑the‑loop—to build reliable, high‑quality AI products.

AI Product ManagementMulti-Agent ArchitectureTask Orchestration
0 likes · 16 min read
Why AI Product Managers Must Rethink Their Core Logic in the Multi‑Agent Era
AI Waka
AI Waka
Mar 13, 2026 · Artificial Intelligence

How to Map Enterprise Workflows to Agentic AI Execution Graphs

This article explores the evolution of Agentic AI, outlines a full lifecycle for designing, deploying, and governing AI agents, presents a reference architecture, and demonstrates a practical case study of automating a customer service desk using agentified workflows.

AI architectureAgentic AIEnterprise Automation
0 likes · 15 min read
How to Map Enterprise Workflows to Agentic AI Execution Graphs
JD Tech Talk
JD Tech Talk
Nov 10, 2025 · Artificial Intelligence

Designing an AI-Powered Experiment Analysis Agent: Architecture, Workflow, and Future Enhancements

This article outlines the motivation, design, architecture, engineering implementation, large‑model selection, and future improvement plans for an AI‑driven experiment analysis agent that integrates data aggregation, modular workflow orchestration, and interactive frontend features to streamline AB‑test insights.

AI AgentWorkflow Designexperiment analysis
0 likes · 14 min read
Designing an AI-Powered Experiment Analysis Agent: Architecture, Workflow, and Future Enhancements
DaTaobao Tech
DaTaobao Tech
Sep 3, 2025 · Artificial Intelligence

Why a Simple Workflow Beats Complex Agents in AI‑Powered Insurance Audits

A retrospective of an AI‑based insurance claim audit project shows that a well‑designed workflow, precise prompt engineering, and rule‑based pre‑filtering can achieve stable, high‑accuracy results, while overly complex agent architectures often become fragile patchwork solutions.

AI auditWorkflow Designinsurance claim
0 likes · 24 min read
Why a Simple Workflow Beats Complex Agents in AI‑Powered Insurance Audits
Tencent Cloud Developer
Tencent Cloud Developer
Aug 8, 2025 · Artificial Intelligence

Mastering AI Agents: A Practical Guide to Building Effective Workflows and Tools

This comprehensive guide explains when to use AI agents, presents core design patterns such as prompt chains, routing, parallelization, orchestrator‑worker and eval‑optimize loops, and offers concrete implementation advice and tool‑prompt engineering techniques for building reliable, high‑quality agent systems.

LLMWorkflow Designprompt engineering
0 likes · 24 min read
Mastering AI Agents: A Practical Guide to Building Effective Workflows and Tools
Smart Era Software Development
Smart Era Software Development
Jun 12, 2025 · Artificial Intelligence

Anthropic’s Practical Guide to AI Agents: From Selection to Efficient Implementation

This article offers a detailed, Anthropic‑based guide on building effective AI agents and workflows, covering selection criteria, design patterns such as prompt chains, routing, parallelization, orchestrator‑worker and evaluation‑optimization, real‑world case studies, and concrete implementation recommendations that stress simplicity and composability.

AI AgentsAnthropicLLM
0 likes · 26 min read
Anthropic’s Practical Guide to AI Agents: From Selection to Efficient Implementation
DevOps
DevOps
Aug 7, 2024 · Product Management

Visualizing Product Requirements with a 2D User Story Map

The article explains how a two‑dimensional user story map can help product managers capture, organize, and communicate user requirements more efficiently by visualizing workflows and scenarios, reducing missed details, and fostering clearer collaboration during brainstorming and meetings.

Requirement VisualizationWorkflow Designproduct management
0 likes · 5 min read
Visualizing Product Requirements with a 2D User Story Map
Xianyu Technology
Xianyu Technology
Jan 10, 2023 · Backend Development

Lightweight State Machine Framework for Order Fulfillment in Xianyu Industry Transactions

The Xianyu team introduced a lightweight, API‑driven state‑machine framework that replaces massive IF‑ELSE order‑fulfillment code with a three‑layer architecture—core topology, glue adapters, and business processors—enabling concise topology definitions, reusable validation/action logic, automatic logging, monitoring, and effortless extension across recycling, consignment, and inspection services.

Workflow Designbackend architectureorder fulfillment
0 likes · 10 min read
Lightweight State Machine Framework for Order Fulfillment in Xianyu Industry Transactions