This is the canonical home for narrative, applied, and production-oriented AINL writeups.
Current case studies
apollo_long_context_memory_solutions.md— how AINL mitigates long-context pressure at the workflow layerapollo_long_context_memory_original_thesis.md— original thesis-style writeupgraph_agents_vs_prompt_agents.md— graph-native agents vs prompt-loop agentsHOW_AINL_SAVES_MONEY.md— runtime cost framing for routine monitoringDESIGNING_ENERGY_CONSUMPTION_PATTERNS.md— AINL as explicit energy budget design (pay-once design, run-many execution)
Related sections
- Integration story (AINL in agent stacks):
../INTEGRATION_STORY.md - Competitive landscape:
../../README.md(Competitive Landscape section) - Why this approach exists:
../fundamentals/README.md - Operational proof:
../operations/README.md - Root docs navigation:
../README.md
