# AI Tool Herald > Sourced analysis of AI models, tools, and practical workflows. ## Essential pages - [About](https://aitoolherald.com/about/): Publisher identity and scope. - [Editorial policy](https://aitoolherald.com/editorial-policy/): Sourcing, corrections, and automation standards. ## Recent articles - [Five Lessons from Anthropic's September 2026 Threat Report](https://aitoolherald.com/articles/anthropic-september-2026-threat-report/): A measured reading of Anthropic's latest threat-intelligence report, focused on how AI misuse is changing and what defenders can do now. - [ChatGPT Data Agent: What Business Teams Should Test First](https://aitoolherald.com/articles/chatgpt-data-agent-business-guide/): A practical evaluation of OpenAI's Data agent for governed business analysis, dashboards, source evidence, and permission-aware actions. - [ChatGPT for Financial Services: Useful Product or Data Bundle?](https://aitoolherald.com/articles/chatgpt-financial-services-analysis/): An evidence-based look at OpenAI's financial-services product, its licensed data strategy, citations, governance, and review requirements. - [GPT-Live-1 and the New Voice API Decision](https://aitoolherald.com/articles/gpt-live-1-voice-api/): What GPT-Live-1 changes for voice applications and how to test latency, interruption handling, accessibility, and cost before launch. - [OpenAI Agents API Explained for Small Teams](https://aitoolherald.com/articles/openai-agents-api-explained/): A plain-language explanation of OpenAI's Agents API, the decisions it centralizes, and the safety checks needed before agents take action. - [GPT-6 Astra for Work: What the Launch Actually Changes](https://aitoolherald.com/articles/gpt-6-astra-work-guide/): A sourced guide to GPT-6 Astra, its place in ChatGPT and the API, and the questions teams should answer before adopting it. - [ChatGPT Images 2.5: A Practical Guide for Creators](https://aitoolherald.com/articles/chatgpt-images-2-5-guide/): What OpenAI announced for ChatGPT Images 2.5, where the upgrade may help, and how to evaluate image quality without trusting a demo. - [Claude Fable 5.1 and Mythos 5.1: How to Read the Release](https://aitoolherald.com/articles/claude-fable-mythos-5-1/): A clear guide to Anthropic's Claude Fable 5.1 and Mythos 5.1 announcement, with an adoption framework for coding and knowledge work. - [Anthropic's Model Hardware Standard, Explained](https://aitoolherald.com/articles/anthropic-model-hardware-standard/): A practical explanation of Anthropic's Model Hardware Standard preview and the safety questions raised when AI agents operate physical devices. - [Claude for Scientists: What the New Access Program Offers](https://aitoolherald.com/articles/claude-science-access-guide/): Anthropic expanded Claude access for scientists. Here is what the program offers and how researchers should evaluate evidence and reproducibility. - [Claude Text Watermarking: What It Can and Cannot Prove](https://aitoolherald.com/articles/claude-text-watermark-explained/): Anthropic has explained Claude text watermarking. Here is what the signal means, how it differs from AI detectors, and where caution remains. - [Claude Opus 5 and the Shift to Long-Running Agents](https://aitoolherald.com/articles/claude-opus-5-long-running-agents/): What Anthropic's Claude Opus 5 launch means for coding and professional work, plus the controls required for longer autonomous tasks. - [GPT-5.6 Sol, Terra, and Luna: How to Choose](https://aitoolherald.com/articles/gpt-5-6-family-comparison/): A practical framework for choosing among GPT-5.6 Sol, Terra, and Luna based on task difficulty, total cost, latency, and review effort. - [Google's AI Search Optimization Guide, Minus the Myths](https://aitoolherald.com/articles/google-ai-search-optimization-guide/): Google says AI search visibility comes from useful, crawlable content rather than special tricks. Here is the practical site checklist. - [How to Automate AI Content Without Creating Scaled Abuse](https://aitoolherald.com/articles/ai-content-without-scaled-abuse/): A safe editorial automation model based on Google's AI-content guidance, with human gates for evidence, originality, and publication. - [Gemini 3.5: What Frontier Intelligence with Action Means](https://aitoolherald.com/articles/gemini-3-5-agentic-model-guide/): Google describes Gemini 3.5 as an agentic model family. This guide separates the launch claims from the tests teams should run themselves. - [Affiliate Disclosures for AI Tool Reviews That Readers Can Understand](https://aitoolherald.com/articles/affiliate-disclosure-for-ai-tool-reviews/): A practical guide to clear affiliate disclosures for AI-tool reviews, based on FTC guidance and designed for honest conversion pages. - [How to Compare AI Models with a Repeatable Test](https://aitoolherald.com/articles/compare-ai-models-repeatable-test/): A reusable AI-model comparison method that measures factual quality, instruction following, review time, latency, and total cost. - [The AI Tool Review Methodology We Will Use](https://aitoolherald.com/articles/ai-tool-review-methodology/): AI Tool Herald's practical method for reviewing AI tools with dated tests, evidence, limitations, privacy checks, and transparent scoring. - [Meta Muse Spark: The New Multimodal Model in Context](https://aitoolherald.com/articles/meta-muse-spark-explained/): What Meta announced with Muse Spark, what multimodal reasoning and orchestration imply, and which claims need independent verification.