by HDDH
Genspark, Claude Code, ChatGPT, Gemini, Antigravity, and other generative AI and agentic AI tools — put to the test by a software engineer with 20 years of experience. From pricing, comparisons, and how-to guides to real failures and hands-on examples in AI development.
"I looked up and my credits were gone" — that's a headache most Genspark users have run into at least once. Even when people are aiming for similar output, the amount of credit consumed can vary wildl...
The first wall that people new to Genspark tend to hit is not knowing what to actually write in a prompt. Faced with a blank input box, it's tempting to just type something vague like "tell me about X...
Genspark AI Developer has been getting attention as a tool that lets you "build an app with no programming knowledge required." Having written code for close to 20 years myself, I'm curious how far th...
Claude Cowork is built around the idea of "AI as a coworker" — it handles everyday tasks for you through file operations and integrations with outside tools. How far does it really live up to being a ...
When building with the Gemini API, you will run into all kinds of error codes sooner or later. Rather than retrying blindly without knowing the cause, understanding what each status code means makes i...
Genspark, Claude Code, and Gemini each impose usage limits in different ways. This article compares their credit systems, rate limits, and usage caps side by side, and highlights the shared principle behind avoiding wasted usage.
Want to feed confidential documents to ChatGPT or Claude but worried about a data leak? I built a free desktop tool, "AI Secret Guard: Kanamei-kun," to solve exactly that. It runs entirely locally, needs no installation, and even supports Office files.
As of June 2026, Genspark MoA calls three models: GPT-5.1 Instant, Claude Sonnet 4.6, and Gemini 3.1 Pro Preview — not the latest flagships. Reflection also cannot search the web, making MoA unreliable for current-events research. For brainstorming and multi-angle perspective gathering, however, MoA is outstanding. Here is what extensive use revealed about how to get real value from it.
Genspark's "AI Chat Mixture-of-Agents" lets you query Claude, Gemini, GPT, and other leading AI models simultaneously — and get a single synthesised, high-quality answer in return. It cuts the manual "AI hopping" workflow to roughly 1/5 the time. We explain why only Genspark — a platform with no AI model of its own — could build this, and how to use it effectively.
Genspark offers a CLI you can use with an API key. It's not an autonomous agent like Claude Code -- it's a way to call individual Genspark features (image generation, search, transcription, video generation) one command at a time. This guide covers getting your API key, installing the CLI, using commands like gsk img and gsk transcribe, and pairing it with Claude Code.
AI image generation is reshaping frontline sales. In this post, I walk through a 3-step workflow — smartphone photo, instant AI rendering, on-the-spot quote — that lets sales reps deliver a photorealistic completion image and a ballpark figure during the pitch itself. Includes real implementation challenges and how AI agents can automate the follow-up.
Genspark's AI chat has added three new models: DeepSeek V4 Pro (China), Trinity Large Thinking (USA · Arcee AI), and Minimax M2P7 (China · MiniMax). This post breaks down each model's background, online reception, and real-world performance — including an honest look at Japanese language support and what each one is actually best suited for.
