- Practical Thinking
Building and Optimizing KA Project Process Standards
Process standards, collaboration mechanisms, and data-driven delivery practices for complex key-account projects.
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We continuously explore the limitless possibilities of the digital world.
We continuously explore the limitless possibilities of the digital world.
Keeping a sharp eye on frontier technology
Capturing real reflections from AI, product, and technology practice, and sharing the experience and judgment gained through long-term exploration.

Process standards, collaboration mechanisms, and data-driven delivery practices for complex key-account projects.
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From a value partnership to full-lifecycle support: GeekOnUp’s customer success methodology.
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A practical look at the five-stage, 17-step framework we use to align product strategy, engineering execution, and long-term business value.
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When the Starting Point of Thinking Changes
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The Three-Layer Strategic Model for Software Companies: Application, Data, and AI
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Process standards, collaboration mechanisms, and data-driven delivery practices for complex key-account projects.
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GeekOnUp Embraces a New Identity and Begins a New Journey
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From a value partnership to full-lifecycle support: GeekOnUp’s customer success methodology.
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Transforming fragmented, repetitive tasks into structured and scalable processes
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A practical look at the five-stage, 17-step framework we use to align product strategy, engineering execution, and long-term business value.
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Strong early feedback and broad capability gains put OpenAI firmly back at the front of the AI race.
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Today, DeepSeek-V4 has officially arrived.
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A true AI work engine for the Agent era?
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From writing code to building the tools that guide AI
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The answer to today’s AI anxiety may not be chasing the latest models, but returning to the fundamentals.
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As models begin to evolve themselves and AI starts contributing to the creation of AI, we are witnessing the beginning of a new era.
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A Truly Unified AI Model: Reasoning, Coding, Computer Use, Deep Search, and Million-Token Context
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“Raising Lobsters” Went Viral: My Hands-On Experience with OpenClaw
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Is Google’s New “Banana” Model Any Good?
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The shift from better prompts to better information environments exposes a deeper constraint: today's models still struggle to learn and apply genuinely new knowledge from context.
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This wearable recorder does more than capture audio. It offers a low-friction path from real-world conversations into searchable organizational knowledge.
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A practical look at how GeekOnUp turned article production from an individual craft into a collaborative, testable, and continuously improving AI workflow.
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Agents may lead the next wave of enterprise AI, but dependable data, governed execution, and closed feedback loops will determine how far that transformation can go.
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Technical Depth Drives Us Forward
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Deep Dive into DeepSeek’s First Paper of the Year
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As foundation models converge, durable advantage is moving up the stack toward the engineering, governance, and operational maturity required to make agents work at scale.
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Agents matter, but their practical limits are set by the data, rules, permissions, and product infrastructure beneath them.
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How AI Should Fit Into Our Lives
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A Product That Changes How We See the World
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A Journey of Challenges, Collaboration, and Growth
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A practical method for reducing noise, finding the right path, learning quickly, and turning individual discovery into reusable team capability.
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When the Starting Point of Thinking Changes
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An Annual Gathering Without the Usual Formalities
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The expanded report reveals data recipes, training costs, infrastructure choices, safety evaluations, and failed experiments, making the development of reasoning far more reproducible.
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Zhipu Becomes the First Large Model Company to Go Public
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Four Key Takeaways
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