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ShiZhen AI
ShiZhen AI
Apr 4, 2026 · Industry Insights

Anthropic Bans OpenClaw: How It Copied Features and Then Cut Off Access

Anthropic announced that, starting April 5, Claude subscription quotas will no longer cover third‑party tools like OpenClaw, explaining the change as a response to unexpected load, revealing a pricing model shift, and outlining compensation, workarounds, and its own emerging alternatives such as Dispatch and Claude Cowork.

AI agentsAPI UsageAnthropic
0 likes · 8 min read
Anthropic Bans OpenClaw: How It Copied Features and Then Cut Off Access
Refining Core Development Skills
Refining Core Development Skills
Sep 21, 2024 · Artificial Intelligence

Using GLM-4-Plus Large Model API: Features, Code Samples, and Practical Application Scenarios

This article introduces the rapid rise of large language models, highlights the advantages of the GLM-4-Plus model—including superior language understanding, long‑text handling, and enhanced reasoning—explains how to obtain API credentials, demonstrates request parameters and curl examples, and showcases diverse real‑world use cases such as code generation, social‑media copy, travel planning, and interview question creation.

API UsageGLM-4-PlusLarge Language Models
0 likes · 17 min read
Using GLM-4-Plus Large Model API: Features, Code Samples, and Practical Application Scenarios
CSS Magic
CSS Magic
Dec 15, 2023 · Artificial Intelligence

Google Gemini Free API Launch: A Deep Dive for Developers

Google has opened its Gemini Pro large‑language model via a completely free API with a 60‑calls‑per‑minute limit, offering an online playground, straightforward key registration, efficient token usage, and streaming output, while noting it remains a technical preview rather than a consumer‑ready service.

AIAPI UsageFree API
0 likes · 3 min read
Google Gemini Free API Launch: A Deep Dive for Developers
Ximalaya Technology Team
Ximalaya Technology Team
Aug 22, 2023 · Artificial Intelligence

Guidelines and Best Practices for Prompt Engineering with Large Language Models

The guide outlines prompt‑engineering best practices for large language models, distinguishing base and instruction‑tuned LLMs, emphasizing clear, structured, step‑by‑step prompts, handling hallucinations, iterating through idea‑code‑data cycles, applying techniques to summarization, reasoning and expansion, managing token costs, and providing concrete OpenAI API examples.

AIAPI UsageLLM
0 likes · 14 min read
Guidelines and Best Practices for Prompt Engineering with Large Language Models