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Thanks for sharing this, Youssef. AgentWorkflow .com now taken in 29 TLDs and being the category killer. I am now expecting 150k🤞
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Jun 4
People were outsourcing planning to AI models.🤣 Now that tokens are getting expensive, we're being forced back into reasoning before delegating specific tasks to AI. Funny how pricing succeeded where philosophy had struggled to compel us #AgentWorkflow #copilot #ClaudeCode
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Imagine deploying an agent that can research, draft, review, and send all without you lifting a finger. That's Dazhcorp. #Dazhcorp #AIProductivity #AgentWorkflow #AutomationGoals
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May 29
Anthropic 于 2026-05-28 发布 Claude Opus 4.8,同期在 Claude Code 上线 Dynamic Workflows 的 research preview。 Dynamic Workflows 覆盖 Claude Code CLI、Desktop、VS Code extension、API,以及 Amazon Bedrock、Vertex AI、Microsoft Foundry 等平台,Max、Team、Enterprise 计划可用,Enterprise 需管理员在后台启用。官方文档描述的能力链条为:Claude 先规划任务,在单个会话内拉起多个并行 subagents,最后在返回结果前执行输出验证。 官方给出的适用场景包括:codebase-wide bug hunts、profiler-guided optimization audits、security audits、large migrations、modernization efforts,以及需要 double-check 的关键任务。这些场景的共同特征是验证目标明确。大规模迁移、安全审计、性能优化等任务有相对清晰的 pass/fail 条件,并行 subagent 的独立验证可以在这一前提下运行。如果验证标准模糊,并行输出会增加审查负担。 单 agent 在复杂任务中可能沿第一条假设路径深入,后续探索受初始方向影响。多 agent workflow 并行探索不同假设分支,每个 subagent 独立执行、独立验证,汇总结果时可呈现冲突和差异。Dynamic Workflows 的验证环节在返回结果前执行,将交叉验证内置到调度流程中。 评价这类系统,模型分数只是一部分。任务拆解粒度、diff 是否干净可审阅、验证环节是否形成闭环、token 消耗是否可控、权限边界与回滚负担是否在工程团队承受范围内,会直接决定它能不能进入日常工程流程。 官方也提醒,Dynamic Workflows 会比普通 session 消耗更多 tokens,首次触发会展示即将运行的内容并请求用户确认,组织管理员可通过 managed settings 禁用。 Dynamic Workflows 更适合有测试、有验收标准、边界清晰的工程任务。工程团队接入时,应先定义完成标准,再决定是否启用并行调度。 #ClaudeCode #CodingAgent #AgentWorkflow #AIEngineering
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May 2
Replying to @irvinebroque
The architecture I propose: Web/UI →Agents SDK in Durable Objects →AgentWorkflow for async runs/retry/approval → Flue or any harness →Sandbox/Dynamic Workers →Artifacts as the Git-like workspace. Harnesses should be swappable; the runtime should be durable and agent-native
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Hermes 这次更新亮点很足,主要围绕 Goal、Kanban、Skills 三大功能展开。 简单来说,Hermes 正在从「单个 Agent 聊天式工作」逐步进化成 目标驱动 多 Agent 协作 技能智能管理 相关地址: hermes-agent.nousresearch.co… 🏷 标签: #Hermes #AI代理 #Goal #Kanban #Skills #AgentWorkflow
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This is why I’m building MPLP as an Agent Lifecycle Protocol. Execution needs lifecycle. Multi-agent execution needs lifecycle responsibility separation. Without that, multi-agent AI is just execution at scale. #AIAgents #MultiAgentSystems #AgentWorkflow #AgentLifecycle #MPLP
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🚀 #Warp is now #opensource! The #AI powered #terminal used by ~1 million active developers has finally opened its source code to the community — and the contribution workflow is unlike anything you've seen before. 🤖 Meet Oz — #Warp's AI agent that powers the entire open-source workflow. Open a #GitHub issue and Oz triages it, writes the spec, codes the solution, reviews its own code and verifies the result. All in conjunction with the Warp team and community. #AI #agentworkflow 👥 This isn't just open source for show. Nearly 1M developers told the #Warp team: "If you open this up, we will help you build it." Five years after the initial preview — and with a working business model in place — they finally made it happen. #opensource #community 🔍 Want to watch AI build software in real-time? Go to build.warp.dev and see every Oz agent — planning, coding, reviewing — live. You can click in and trace the full agent conversation as it builds any feature of #Warp. Pure transparency. #buildinpublic #devtools 🛠️ How to get involved: → Contribute directly via GitHub → File issues at github.com/warpdotdev/warp → Use /feedback inside #Warp — triggers Oz to gather context & auto-open an issue → Watch Oz work at build.warp.dev #terminal #CLI 💡 The bigger vision: in a world where the cost of writing code trends toward zero, real value comes from humans agents collaborating on shared projects. #Warp sees this as the future model of #softwaredevelopment. #AI #futureofwork #programming 🔗 GitHub: github.com/warpdotdev/warp 🔗 Oz agent system: github.com/warpdotdev/oz-for… 🎞️ youtube.com/watch?v=eRsoRbJs…
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Okay, I have to say this out loud: OpenAI just dropped Codex for (almost) everything — and the word 'almost' is doing a LOT of heavy lifting here. We're talking about an agent that can: - Take screenshots of your screen - Generate images on the fly - Move from concept → mockup → code → verification ...all inside a single reproducible workflow. But here's what genuinely gave me chills: Every action leaves a log. Every output is paired with its evidence. The agent doesn't just do the work — it shows its receipts. For anyone in PR or IR, that's not a productivity upgrade. That's a paradigm shift. Imagine drafting investor materials, UI mockups, and FAQ docs — not just faster, but with full audit trails baked in from the start. No more 'who approved this version?' chaos. No more scrambling to reconstruct your process. The operating principle that stuck with me: Escalate permissions gradually. Fix your tests and output formats. Collect deliverables AND the evidence together. That's not just good AI hygiene. That's how serious work gets done. If you're building communications or comms infrastructure in 2026, this is the moment to stop treating AI as a drafting tool and start treating it as a delegatable teammate with a paper trail. The agents are ready. The real question is — are your workflows ready to receive them? openai.com/index/codex-for-a… #AIAgent #Codex #OpenAI #PRStrategy #IRComms #AgentWorkflow #FutureOfWork
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I documented how to hire a new AI employee. Create workspace, write boot docs, register in openclaw.json, bind Discord, wire Postiz, create Tesserae project. One afternoon. #AIOps #AgentWorkflow
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This agent workflow starts at node runtime, then uses RAG tool calls for GPS tracker pricing. It's a streamlined process for efficient data retrieval. #AgentWorkflow #RAG #Tech
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Fourth shift: agent usability MemPalace’s save hook philosophy is clever, but its hook explicitly blocks stopping and tells the AI to do the save. I wanted a more autonomous path. So Mnemion includes auto-save hook flow, plus a broader behavioral protocol around memory usage. MemPalace hook: mempal_save_hook.sh Mnemion repo: Mnemion #ClaudeCode #AIWorkflow #AgentWorkflow #Automation #DeveloperExperience #MCPTools
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Replying to @dharmesh @BrianNull
I have got AgentWorkflow .com listed for sale in case you are interested.
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🧵 2/5 At the heart of this shift is Agent Workflow – the operating system for AI-native organizations. It's how intelligent agents orchestrate, automate, and optimize operations with minimal human touch. Think of it as the connective tissue of the AI-native enterprise. #AgentWorkflow #AIAutomation
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Replying to @teneo_protocol
The Agent Workflow is brilliant: User query, agent selects, pays via x402 on Avalanche, and returns a structured dataset. Seamless! #AgentWorkflow #Avax #x402
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🚨 OpenClaw 直连 Seedance 2.0 生成 14 秒高清视频,自动导入 Premiere Pro 完成全套剪辑。 兄弟,这套组合直接干掉后期 90% 时间,你刷 X 找 alpha 的空档,就能批量吐出 crypto meme 视频,信息差变现快一拍。 • OpenClaw agent 调用 Seedance 2.0 API,单 prompt 输出 14 秒电影级动态片段。 参数优化全自动,人物动作连贯无鬼畜,远超手动试错效率。 • 生成视频文件后,OpenClaw 接管 Premiere Pro,导入仅需数秒启动编辑。 自动匹配剪辑点、加转场、同步音效,输出专业级成品零干预。 • 整个端到端 workflow 支持无限循环,单机跑通生成-编辑-导出。 传统团队 2 小时活儿,现在 agent 几分钟搞定,AI 工具党内容产能直接 10x。 💎 OpenClaw 不是聊天 bot,是你深夜赶工的隐形剪辑师。 OpenClaw integrates Seedance 2.0 to generate a 14-second high-definition video, then auto-imports to Premiere Pro for full editing. Dude, this combo slashes 90% of your post-production time—perfect for pumping out crypto memes during your X alpha hunts, turning info edges into cash faster. • OpenClaw agent triggers Seedance 2.0 API, delivering 14-second cinematic motion clips from one prompt. Full auto-parameter tuning for seamless character flow, no more manual iteration grind. • Post-generation, OpenClaw pilots Premiere Pro interface, importing in seconds to kick off edits. Auto-detects cuts, layers transitions, syncs audio—pro output with zero hands-on. • End-to-end workflow loops endlessly, handling gen-edit-export on one machine. What took teams 2 hours now runs in minutes via agent, 10x your AI content throughput. 💎 OpenClaw isn't a chat toy—it's your overnight editing ghost crew. #Seedance2 #OpenClaw #AIVideoGen #AgentWorkflow
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