GPT-5.6 Sol, Terra, and Luna: Build a Better Blog Workflow in Hermes Agent
Use GPT-5.6 Luna for source research, Terra for drafting, and Sol for editorial review in one practical Hermes Agent blog workflow.
AI agents, automation pipelines, and agentic workflows. How to run real production work with Hermes, Claude, MCP, and AI-native automation, not just chatbot demos.
Use GPT-5.6 Luna for source research, Terra for drafting, and Sol for editorial review in one practical Hermes Agent blog workflow.
This walkthrough shows how to connect Hermes Agent to GPT-5.6, SearXNG, Tavily, Bright Data, and reusable search skills for current, sourced web research.
In this walkthrough, I use Codex inside Hermes Agent to build a real marketing planning workspace. The workflow starts with raw SEO research, organizes it into project folders, separates the work into focused chat threads, and turns everything into a 30-60-90 marketing plan.
Anthropic just launched Claude Sonnet 5, and it’s a bigger deal for everyday business use than the name might suggest. Anthropic is calling it the “most agentic Sonnet model yet.” That means it doesn’t just answer questions. It can plan out a task, use tools like a web browser or spreadsheet, and carry the work through to the finish line with a lot less hand holding.
A step-by-step walkthrough of using GLM 5.2 in Notion to build a content library database, create blog templates as AI skills, research a blog series, draft posts, and edit them.
If you already pay for a ChatGPT plan, you can plug that same Codex subscription straight into Hermes and stop bouncing between five different apps to get work done
A step-by-step guide to turning the Hermes AI agent into a video editing workbench using FFmpeg, Melt, and visual frame analysis, with most edits running locally for free.
A step-by-step walkthrough for building a hands-off Spotify DJ agent with Hermes, including the profile setup, three custom skills, and the cron jobs that have run 714 times without a failure.
Anthropic released Claude Opus 4.8 with sharper judgment and honest self-correction. Here is what changed and how marketers should use it.
After 16 days of real data, here is what it actually costs to run an always-on AI assistant infrastructure with 21 daily jobs, why cache hit rate matters more than model price, and how to route tasks between cheap and premium models.