Hey everyone, Aryan here.
If you are building AI automations or running an agency, you already know the bottleneck: raw OpenAI/Anthropic API calls get expensive fast, and latency can completely ruin an enterprise user experience.
The agencies winning the high-ticket enterprise contracts right now aren't just writing better prompts—they are optimising their inference stacks, hardware acceleration, and GPU routing.
But let's be real: nobody running an agency has the time to sift through dozens of dense arXiv research papers every week to find the actionable techniques.
That’s why I built Lucid — a highly specialised research digest designed specifically for AI engineers and automation agencies.
What Lucid delivers straight to your inbox:
- Inference Optimisation: Breakdowns of the latest techniques to slash latency and compute costs.
- Hardware Acceleration: Understanding how next-gen GPU architectures and compilation layers can speed up your production systems.
- Actionable Blueprints: Translating dense academic research into practical code and architectural choices you can use to ship better, faster products.
If you want to move past basic wrapper tech and build highly optimised, enterprise-grade AI infrastructure, grab a spot on the list.