Deep-dive research on the cost, structure, and efficiency problems Signal Loom tools are built to solve.
The missing memory layer for AI agents. contextbroker gives any AI agent persistent, namespaced, TTL-controlled memory that survives session boundaries and works across any framework.
Before you run any AI job, know exactly what it will cost. costestimate provides instant token counting and cost estimation across 16 models — before a single token runs.
jobaudit reads every AI cron job in your system, estimates real cost, compares against optimal models, and shows exactly how much you'd save. Signallloom earns 25% of the first 3 months' savings.
promptcache finds the hidden token waste in your AI infrastructure: shared system prefixes re-processed identically on every single job run. No direct competitor. A genuine white-space product.
Four tools, one integrated system. How costestimate, jobaudit, promptcache, and contextbroker form a complete AI development intelligence stack.