All (110)Personal Introduction (1)AI Summary (8)Project Management (4)Investment Strategy (9)Financial Market Analysis (6)AI Software Engineering (9)AI Research (7)Content Management (9)Cognitive Development (1)Philosophical Reflection (3)Entrepreneurship (1)AI Tools Development (9)Product Development (3)Troubleshooting (2)Quantitative Finance (12)AI Cost Analysis (1)System Architecture (1)Simulation Framework (1)Technical Log (3)AI Social Systems (3)Personal Reflection (1)
Summary of PMA Project Development and AI Tool Usage
AI Tools Development
👤 AI tool users, developers, technical blog readers, people interested in prediction markets and arbitrage projects
This article documents the author's summary after completing the development of a prediction market arbitrage project (PMA) on February 8, 2026. The author and team used AI tools like Opus, GPT, and Gemini to write Rust code, despite being unfamiliar with the language. The article focuses on analyzing three main issues encountered while using AI tools: insufficient stability of Agent workflows, blog content approaching the 128k token limit causing small models to fail, and overly long single writes leading to output truncation. To address these, the author proposes solutions including adding strict script checks, future strategies for handling large content, and adopting a segmented writing method of outlining first then filling in details. The article also mentions that some solutions have been implemented in the CZON project, praises Opus's strong summarization capabilities, and plans to try GPT-5.3-CodeX for comparison in the future.
- ✨ PMA project used AI tools to complete Rust code development
- ✨ AI Agent workflow stability issues require script checks to resolve
- ✨ Blog content approaching token limits affects small model processing
- ✨ Overly long single writes cause output truncation, requiring segmented writing
- ✨ Opus has strong summarization capabilities, plans to compare with GPT-5.3-CodeX
📅 2026-02-08 · 300 words · ~2 min read
Impact of OpenCode Free Model Removal on Integration Development
AI Tools Development
👤 AI developers, integration engineers, and technical personnel focused on free AI models and cost optimization
This article documents the integration development challenges faced by the author on January 23, 2026, due to OpenCode's removal of the free models GLM-4.7 and MiniMax M2.1. The author notes that remaining models like gpt-5-nano and grok-code perform poorly on summary tasks, eliminating the free advantage, and mentions that CZONE users may need to bring their own models (BYOK). The article also discusses how summary tasks require high model capabilities but are infrequent, making expensive models acceptable, and concludes with anticipation for DeepSeek V4, hoping it will provide a more cost-effective solution.
- ✨ OpenCode removed the free models GLM-4.7 and MiniMax M2.1
- ✨ Remaining models like gpt-5-nano and grok-code perform poorly on summary tasks
- ✨ The free advantage is gone, potentially requiring bring-your-own-model (BYOK)
- ✨ Summary tasks require models to understand the full text and construct summaries
- ✨ Tasks are infrequent, making expensive models acceptable
📅 2026-01-23 · 177 words · ~1 min read
Exploration of AI Tone Rewriting Function and Productization Considerations
AI Tools Development
👤 Tech enthusiasts, product managers, and entrepreneurs interested in AI applications, document processing, product design, and innovation opportunities.
On January 18, 2026, while using Claude Code to summarize documents, the author tested various tones such as objective/neutral, sarcastic, and flattering, discovering that AI's tone rewriting function tends to overlook facts. After adding prompts to emphasize factual accuracy, the generated summaries—critical version, literary/emotional version, and personality analysis version—all achieved good results. Notably, the personality analysis version inferred the author as an INTJ type based on writing content, providing insightful observations. The author emphasizes that sticking to the facts is a crucial principle, and AI should not sacrifice accuracy to accommodate tone. Based on this exploration, the author considers productizing AI summarization functionality, analyzing market demand, dissemination formats, cost challenges, and plans to create a prototype to test market response.
- ✨ The initial version of AI tone rewriting functionality has issues with ignoring facts.
- ✨ Prompt optimization can significantly improve the quality and factual accuracy of AI outputs.
- ✨ Critical, literary/emotional, and personality analysis summaries perform well after optimization.
- ✨ Personality analysis infers author type based on writing content, providing compelling insights.
- ✨ Sticking to the facts is an important principle AI should follow.
📅 2026-01-18 · 694 words · ~4 min read
CZON Project Summary and CZONE Product Planning
AI Tools Development
👤 Technical developers and product managers interested in AI integration, open-source project development, free product hosting, and document management tools.
This article documents the author's summary of the CZON project on January 18, 2026, including the integration of OpenCode AI Agent to simplify blog post summarization, and the completion of multiple feature updates such as dark mode and sitemap generation. The author further plans to transform CZON into the online product CZONE, leveraging GitHub Pages, Cloudflare, and GitHub OAuth to achieve free hosting, user data management, and online editing, while enhancing functionality through AI service integration, aiming to build a user-friendly document management platform at zero cost.
- ✨ Integrate OpenCode AI Agent to optimize blog post summarization functionality
- ✨ Complete feature updates for CZON, including dark mode and sitemap generation
- ✨ Plan to transform CZON into the online product CZONE
- ✨ Utilize GitHub Pages and Cloudflare for free hosting and global acceleration
- ✨ Manage user data and online editing through GitHub OAuth
📅 2026-01-18 · 613 words · ~3 min read
CZON JSX Refactoring and AI Classification Feature Planning
AI Tools Development
👤 Front-end developers, content management system designers, AI application developers, project managers
This article first summarizes the completed refactoring work of the CZON project from a Placeholder-Replacement-based template engine to React JSX rendering, removing the original AI-crafted template engine, focusing on improving core functionalities, with custom theme features temporarily shelved. It then details the implementation plan for the AI classification feature: generating a classification system by having AI read .meta.json content, assigning a single classification label to each article, requiring each category to contain at least 3 articles and the total number of categories not to exceed 10, to ensure clarity and conciseness. This functionality needs to be completed after extracting metadata from individual articles and before enhancing Markdown metadata, to handle potential translation needs. Finally, it looks forward to how classification labels will support category browsing and recommendation features, enhancing user experience.
- ✨ CZON has completed refactoring from a template engine to JSX rendering
- ✨ Removed the AI-crafted template engine based on Placeholder-Replacement
- ✨ Planned the AI automatic classification feature, generating a classification system by reading .meta.json
- ✨ Requires each category to have at least 3 articles, with total categories not exceeding 10
- ✨ Articles use a single classification to ensure clarity and conciseness
📅 2026-01-10 · 388 words · ~2 min read
CZON Technical Updates and Theme Implementation Discussion
AI Tools Development
👤 Individual users and small teams, developers interested in technical updates and custom theme implementation.
This article documents the author's technical updates on January 9, 2026, renaming ZEN to CZON, including implementing AI-generated permanent links and 404 page redirects. The core content focuses on custom theme implementation methods, comparing traditional template languages (like Handlebars) with JSX components. The author ultimately decided to adopt JSX components to leverage the advantages of the React ecosystem for improved flexibility and extensibility. The article also discusses theme storage location (.czon/themes directory), data layer design, theme access to framework data, and notes that the direction is clear and will be refined iteratively.
- ✨ ZEN renamed to CZON
- ✨ Implemented AI-generated permanent links, removing SHA-256 hash links
- ✨ Created a 404.html page redirecting to the homepage
- ✨ Discussed custom theme implementation methods: traditional template languages vs. JSX components
- ✨ Chose JSX components to leverage React ecosystem advantages
📅 2026-01-09 · 311 words · ~2 min read
CZON Development Reflection: Balancing AI Integration vs. Custom Themes
AI Tools Development
👤 Static site generator developers, content creators, technical personnel interested in AI integration, CZON project followers
On January 9, 2026, the author reflects on the development direction of the CZON static site generator. Originally planning to implement custom theme functionality using JSX, the author realizes this overlaps with existing mature SSG solutions (such as Next.js, Gatsby, etc.). The author analyzes CZON's unique strengths: supporting automatic translation from native language writing, automatic extraction of document metadata, and potential future integration of intelligent content generation and distribution. Based on this, the decision is made to pause custom theme development and instead focus on improving AI integration and core content management features, clarifying that CZON should concentrate on unique selling points rather than reinventing the wheel.
- ✨ CZON planned to implement custom theme functionality using JSX but found it overlaps with existing SSG solutions
- ✨ CZON's core advantage lies in AI integration: automatic translation from native language writing and automatic metadata extraction
- ✨ Future expansion could include intelligent content generation, optimization, and distribution features
- ✨ Existing SSGs like Next.js and Gatsby are already very mature and feature-rich
- ✨ URL design is centered around Path, facilitating static rendering and SEO
📅 2026-01-09 · 696 words · ~4 min read
ZEN Project Updates and To-Do List
AI Tools Development
👤 ZEN project developers, tech enthusiasts, individuals interested in software development and project management
This document records the updates of the ZEN project on January 8, 2026, including fixes for internal link issues, and details three feature improvements (navigation functionality, language selector styling, custom HTML templates) and two issues (AI parallel rate limiting, .zen file hiding). The author shares development insights in a diary format, emphasizing the balance between practicality and aesthetics, aiming to optimize user experience and project maintenance.
- ✨ Fixed ZEN internal link redirection issues
- ✨ Plans to improve navigation functionality, including time sorting and tag filtering
- ✨ Considering optimizing language selector styling, such as changing to a dropdown menu
- ✨ Pending implementation of custom HTML template functionality
- ✨ Discovered AI parallel call rate limiting issues, requiring rate limiting or retry mechanisms
📅 2026-01-08 · 244 words · ~2 min read
ZEN Project Renamed to CZone with 1.0.0 Version Features Planned
AI Tools Development
👤 Technical professionals and developers interested in open-source project development, knowledge base tools, frontend technology, and project naming.
This article records a conversation between the author and Thrimbda on the evening of January 8, 2026, discussing the future development of the ZEN project. Thrimbda suggested turning ZEN into a publishable knowledge base, supporting features like custom frontends, themes, permanent links, document lists, and carousels. The author believes that after completing these features, the ZEN 1.0.0 version can be released and started considering the release plan. Meanwhile, the author discovered that the name ZEN is already used by multiple projects on GitHub and decided to rename it to CZone (czon), which is not occupied on npm and is shorter, making it suitable as a CLI tool name. The project will be hosted on a subdomain of a personal domain and is not intended for commercialization.
- ✨ Discussed the future development direction of the ZEN project with Thrimbda
- ✨ Planned to turn ZEN into a publishable knowledge base
- ✨ Supports custom frontends, themes, permanent links, document lists, and carousels
- ✨ Planned to release the ZEN 1.0.0 version and considered the release plan
- ✨ Discovered that the name ZEN is already used by multiple projects on GitHub
📅 2026-01-08 · 248 words · ~2 min read