ohara Blog
Practical knowledge from the field — LLMOps, routing, cost optimization and more.
Classifier-based routing, rule-based fallbacks and hybrid approaches: How to use Model Prism to select the right model for every request while balancing cost and quality.
Read moreHow curated, categorized agent collections solve the discovery problem and accelerate AI-assisted development workflows.
Read moreHow to control AI coding agents remotely via messaging platforms like Telegram, with on-demand session spawning and secure access.
Read moreA practical, step-by-step guide to recovering from accidentally committed secrets — revocation, git history cleanup, and prevention strategies.
Read morePractical lessons on building interactive AI training materials with vanilla JavaScript, Vite, and no framework overhead.
Read moreDesign patterns for specialized sub-agents with narrow scope, explicit contracts, and composable pipelines for AI-assisted development.
Read moreHow to use Qwen's free-tier models for AI agents, including setup, configuration, cost comparison, and multi-agent deployment.
Read moreHow to orchestrate multiple AI agents into reliable pipelines with proper routing, lifecycle management, and model assignment.
Read moreA practical guide to deploying AI agents on a VPS with Node.js, nginx, SSL, firewall configuration, and channel integrations.
Read more
Docs