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John Xie Profile
John Xie

@johnxie

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Co-founder, CEO @Taskade ✨🌈 🐑

San Francisco, CA
Joined April 2008
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@johnxie
John Xie
7 days
This is the AI stack we’ve always dreamed of:. → Agents that think.→ Projects that run.→ Apps you can share. The foundation is live. Taskade Genesis is next. The beginning of a new era. 👇 Here’s what we’ve been building behind the scenes.
@Taskade
Taskade
8 days
The new @Taskade Workflow Generator is here. From a single prompt, generate living automations — with real logic, loops, triggers, and 100+ integrations. This is the foundation of Taskade Genesis. Your ideas → shareable, intelligent systems. 👇 Your AI stack just dropped:
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@johnxie
John Xie
7 days
We’ve been building toward this for 5+ years:. → From ideas to action.→ Planning to execution.→ One prompt → One app. Thank you to the early believers. To the builders redefining old categories — keep going. Execution wins. Productivity now runs.
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@johnxie
John Xie
7 days
2023: “The only limit is your imagination.”. 2024: Your imagination runs. With agents, logic, memory — and outputs that work. This is real infrastructure, not a demo.
@Taskade
Taskade
2 years
AI Workflow Generator is LIVE! Powered by GPT-4, instantly generate thousands of case-specific workflows, from team agendas to design sprints. The only limit is your imagination. Transform the way you craft and launch new projects, forever. Welcome to a new era of productivity.
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@johnxie
John Xie
7 days
In 2023, @garrytan called our v1:. “A novel and clever approach to AI meets task management.”. →That was static output. →This is autonomous execution. → The full AI stack, connected end to end. We rebuilt the full stack for execution.
@garrytan
Garry Tan
2 years
This is a novel and clever approach to "AI meets task management". A lot of old categories that might seem lost to infinite competition might become winnable again. Great news for founders and product builders in 2023.
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@johnxie
John Xie
7 days
All of this sets the stage for whats next. Taskade Genesis:. → One prompt .→ One branded, intelligent app.→ Built on your workspace data. Dashboards. CRMs. Forms. Internal tools. From zero to running software in seconds.
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@johnxie
John Xie
7 days
We rebuilt the everything:. → Real-time logic engine.→ AI agents with memory and tools.→ Dynamic tables with autofill and filters.→ Automations for forms, projects, agentic workflows. Not mockups. This is real infrastructure.
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@johnxie
John Xie
7 days
We started with AI-generated task lists, mind maps. They looked good — but didn’t do anything. Now? One prompt builds:. → Agent teams.→ Smart workflows.→ Live, running systems. It’s no longer just a to-do list. It’s execution.
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@johnxie
John Xie
8 days
RT @Taskade: The new @Taskade Workflow Generator is here. From a single prompt, generate living automations — with real logic, loops, trig….
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@johnxie
John Xie
10 days
I think we've just released our BIGGEST update yet. Can't wait to share it!.
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@johnxie
John Xie
17 days
@Taskade We believe in autonomy, but only when automation is solved first. Don’t skip steps. Build workflows that work. Then teach your agents to run them. Try our approach:.
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@johnxie
John Xie
17 days
@Taskade At Taskade, one prompt generates:. - 🗂 A structured Project. - 🧠 An AI Agent. - ⚙️ A connected Automation. That’s the future: automation > autonomy, all in one flow.
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@johnxie
John Xie
17 days
@Taskade You can’t evaluate agents linearly. They take different paths every time. Use LLM-as-judge to score outcomes. Focus on correctness, tool use, and clarity, not how pretty the prompt looked.
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@johnxie
John Xie
17 days
@Taskade Subagents are not magic. They need context, roles, and output boundaries. We treat them like coworkers. Independent but coordinated. Start wide, then go deep.
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@johnxie
John Xie
17 days
@Taskade -Prompting isn’t "write a clever instruction." It’s architecture. The orchestrator needs to delegate, plan, and budget effort. Without structure, your agents will duplicate work or spin out.
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@johnxie
John Xie
17 days
@Taskade Agents are stateful systems, not stateless calls. That means bugs compound. One bad response? Your chain collapses. We’ve built resumable flows, retry logic, and smart fallbacks into everything.
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@johnxie
John Xie
17 days
@Taskade Multi-agent is powerful, but costly. Claude’s own numbers: 15x more tokens than chat. More parallelism = more burn. Only worth it when the task *needs* it — like deep research or broad exploration.
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@johnxie
John Xie
17 days
@Taskade Your tools are your interface — for AI. Every agent failure we’ve debugged? A tool design issue. Bad docs, unclear params, inconsistent behavior. Tooling = UX for machines.
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@johnxie
John Xie
17 days
@Taskade Frameworks can help — until they don’t. LangChain, Bedrock, Vellum…. We’ve tested them all. They hide too much. We build with raw APIs first, abstract only when needed. Know the stack before stacking.
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@johnxie
John Xie
17 days
@Taskade -Start with structure. Most problems don’t need a "thinking agent." They need clear workflows, sharp tools, and predictable results. Build that first. Autonomy comes later.
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@johnxie
John Xie
17 days
🧵 AI agents are at an inflection point. But most teams are chasing autonomy before they’ve nailed automation. At @Taskade , we’re doing the opposite, and here’s what we’ve learned. Lessons from building real agentic systems in production (not just demos):.
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