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James' Growth Diary
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James' Growth Diary

I am James, focusing on AI Agent learning and growth. I continuously update two series: “AI Agent Mastery Path,” which systematically outlines core theories and practices of agents, and “Claude Code Design Philosophy,” which deeply analyzes the design thinking behind top AI tools. Helping you build a solid foundation in the AI era.

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Recent Articles

Latest from James' Growth Diary

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James' Growth Diary
James' Growth Diary
Jun 6, 2026 · Artificial Intelligence

Master GPT‑Image‑2: Multi‑Round Iteration, Local Editing, Batch Generation, Reference Images

This guide explains how to unlock GPT‑Image‑2’s four advanced capabilities—multi‑round iteration, natural‑language local editing, multi‑image generation, and reference‑image mode—by showing concrete prompts, code snippets, best‑practice formulas, performance data, and common pitfalls to avoid.

GPT Image 2batch generationimage generation
0 likes · 15 min read
Master GPT‑Image‑2: Multi‑Round Iteration, Local Editing, Batch Generation, Reference Images
James' Growth Diary
James' Growth Diary
Jun 4, 2026 · Artificial Intelligence

Advanced JSON Prompting: 12 Cases for Infographics, Creative Generation & Multi‑Round Iteration

This article shows how structured JSON prompts unlock three high‑difficulty scenarios—precise infographics, style‑fusion creative images, and stable multi‑round iteration—by walking through twelve concrete examples and four key fields that make AI models follow instructions reliably.

AI image generationJSON promptingcreative style fusion
0 likes · 22 min read
Advanced JSON Prompting: 12 Cases for Infographics, Creative Generation & Multi‑Round Iteration
James' Growth Diary
James' Growth Diary
Jun 4, 2026 · Artificial Intelligence

How to Inject Four‑Layer Memory into Every Dialogue with system_prompt.py

This article explains Hermes' three‑layer system prompt architecture—Stable, Context, and Volatile—detailing how ordered memory injection, snapshot freezing, SQLite caching, and ephemeral prompts dramatically improve LLM prefix‑cache hit rates while avoiding token waste and security risks.

HermesLLM cachingSystem Prompt
0 likes · 13 min read
How to Inject Four‑Layer Memory into Every Dialogue with system_prompt.py
James' Growth Diary
James' Growth Diary
Jun 3, 2026 · Artificial Intelligence

Master JSON Prompt Engineering: 12 Real‑World Cases for Product, UI, Poster, and Illustration

This article explains how structuring AI image prompts in JSON boosts controllability, reusability, and iterative editing, and provides twelve detailed examples covering product shots, UI screens, posters, and illustrations, complete with field definitions, code snippets, a quick‑reference cheat sheet, and a debugging checklist.

AI image generationJSON promptsStructured Prompts
0 likes · 26 min read
Master JSON Prompt Engineering: 12 Real‑World Cases for Product, UI, Poster, and Illustration
James' Growth Diary
James' Growth Diary
Jun 2, 2026 · Artificial Intelligence

Cross‑Session Retrieval with SQLite FTS5 and LLM Summaries – Hermes Agent’s Four‑Layer Architecture

This article dissects Hermes Agent’s four‑layer cross‑session retrieval system, covering persistent storage, dual‑table FTS5 indexing for CJK and English, a three‑path search strategy, intelligent truncation for LLM prompts, structured summarisation, and a holographic retrieval layer that blends FTS5, Jaccard similarity and HRR vector algebra.

Agent ArchitectureCross-Session RetrievalFTS5
0 likes · 25 min read
Cross‑Session Retrieval with SQLite FTS5 and LLM Summaries – Hermes Agent’s Four‑Layer Architecture
James' Growth Diary
James' Growth Diary
Jun 1, 2026 · Artificial Intelligence

How Hermes Implements Bounded Memory: Character Limits, Compression, and Snapshots to Prevent Overflow

The article details Hermes' bounded memory system, which uses character limits for persistent files, a three‑stage context compression pipeline, boundary alignment to protect tool calls, snapshot caching, triple redaction, and anti‑thrashing mechanisms, ensuring agents never overflow or lose critical information.

HermesLLM Agentsbounded memory
0 likes · 16 min read
How Hermes Implements Bounded Memory: Character Limits, Compression, and Snapshots to Prevent Overflow
James' Growth Diary
James' Growth Diary
Jun 1, 2026 · Artificial Intelligence

Ready‑to‑Use Prompt Templates for Social Media Covers, E‑commerce Images, and Logos

This article provides ready‑to‑copy AI prompt templates for four common visual scenarios—social‑media cover images, e‑commerce product main images, marketing posters, and logos—detailing dimensions, style guidelines, and specific element descriptions so you can generate appropriate graphics instantly.

AI promptse-commerceimage generation
0 likes · 13 min read
Ready‑to‑Use Prompt Templates for Social Media Covers, E‑commerce Images, and Logos
James' Growth Diary
James' Growth Diary
May 31, 2026 · Artificial Intelligence

My Curated AI Programming Toolchain: Docs, Projects, and Tools Index

The author consolidates a categorized index of AI programming resources—including official CodeBuddy documentation, open‑source agents, monitoring utilities, workflow tools, code‑review plugins, Skills ecosystem, Git worktree strategies, AI builder feeds, community standards, and a recent research paper—providing practical selection guidance for developers.

AI programmingAgent ToolsClaude Code
0 likes · 15 min read
My Curated AI Programming Toolchain: Docs, Projects, and Tools Index
James' Growth Diary
James' Growth Diary
May 31, 2026 · Artificial Intelligence

6 Core Techniques to Perfect Multilingual Text Rendering in GPT Image 2

This article outlines six essential prompt‑engineering tricks—using quotation marks, limiting text length, specifying exact position, describing font style, adding a quality statement, and iterative fixes—plus multilingual mixing tips and common error‑recovery methods for reliable Chinese, English, and Japanese text generation with GPT Image 2.

AI image generationGPT Image 2font style
0 likes · 13 min read
6 Core Techniques to Perfect Multilingual Text Rendering in GPT Image 2