Intelligence Adjacent framework: systems designed to augment human intelligence through modular capabilities, skill-based architecture, and structured context.
ia-framework
A comprehensive audit revealed systemic architectural problems in the IA framework. Here's what patterns worked consistently, what caused failures, and why a complete rebuild is the only viable path forward.
ia-framework
Why bigger context windows don't mean better results. A three-layer architecture that loads only what's needed, when it's needed.
compliance
After months of debugging agent routing failures, we discovered the real problem wasn't our code—it was our enforcement strategy. Here's what we learned.
ia-framework
Agents under 150 lines that route to specialized skills. Identity and routing, not implementation.
ia-framework
How a 5-tier documentation architecture enables consistent, discoverable slash commands. Build once, reuse forever.
ia-framework
Specialized skills with progressive context loading. Load only what you need, when you need it.
ia-framework
Building an LLM-agnostic architecture where model selection is a feature, not an accident. Five models, each with a role, ready for whatever comes next.
ia-framework
How a PreToolUse hook recommends AI models based on keyword detection - suggesting Opus for complex problems, Grok for review, Haiku for validation. Soft guidance, not enforcement.
ia-framework
How I implemented parallel task orchestration using Claude Code's new async subagents feature for concurrent multi-agent workflows.
ia-framework
Why I chose 'adjacent' over 'augmented' and what it means for human-AI collaboration. The philosophy behind the framework.
ia-framework
A deep dive into the Intelligence Adjacent framework - from hierarchical context loading to VPS-deployed security tools. Every component explained.