TokenCost Agent
An AI agent that audits tokenizer efficiency for Arabic and other non-English workloads across sovereign and global LLMs. It benchmarks tokenization ratios and recommends the most cost-effective model for your use case.
AI Infrastructure · Tokenizer Economics · Voice Agents
Building tools that make AI systems more efficient, transparent, and cost-effective — from tokenizer auditing to real-time voice agents.
An AI agent that audits tokenizer efficiency for Arabic and other non-English workloads across sovereign and global LLMs. It benchmarks tokenization ratios and recommends the most cost-effective model for your use case.
Real-time conversational voice agents — exploring low-latency pipelines, speech-to-text, LLM reasoning, and text-to-speech integration for natural AI conversations.
Research and tooling for AI deployment efficiency — model routing, cost optimization, and infrastructure patterns for production LLM systems.
Writing about tokenizer economics, AI infrastructure patterns, and lessons from building voice agents.
A deep dive into tokenizer efficiency gaps across languages and what it means for sovereign AI economics.
Lessons learned stitching together STT, LLM reasoning, and TTS into a real-time conversational pipeline.
How I built an AI agent that audits tokenizer efficiency and produces defensible cost reports.