The AI Systems Blog

Stop giving away your prompt engineering for free. Master the 4 monetization paths for AI systems: private GitHub repository invites, metered runtime proxy execution, hosted MCP endpoints, and enterprise licensing.

Stop treating AI like an unpredictable black box. Learn the 7 golden rules of production AI usage: deterministic guardrails, zero-temperature factual extraction, sandboxed tool execution, and verifying benchmark claims.

Master the Model Context Protocol (MCP). Learn how to expose production tools, handle SSE vs stdio transports, implement schema validation, secure access tokens, and distribute via AIStoreHub.

Stop relying on vibes-based AI testing. Discover how to construct golden evaluation suites, measure P95 latency and token cost economics, and publish verifiable benchmark manifests.

You don't need venture capital to make money with AI. Discover how indie developers find profitable developer niches, structure pricing, automate GitHub access, and build a $10K/month portfolio.

Autonomous loops without boundaries are dangerous in enterprise production. Master state machines, Directed Acyclic Graphs (DAGs), human checkpoints, and dead-letter queues to build resilient AI pipelines.

Securing modern AI systems requires moving beyond naive prompt filtering. Learn how to defend against direct and indirect prompt injections, tool poisoning, ASCII smuggling, and privilege escalation.

Learn how Model Context Protocol (MCP) bridges frontier models with local developer environments. Complete setup instructions for Claude Desktop, Cursor, and Windsurf with 1-click CLI installation.

Compare Cline, Open Interpreter, Artemis, OmniRoute, and the top open-source coding agents of 2026. Includes SWE-bench evaluation metrics, architectural differences, and 1-click terminal installation commands.