FOUNDER THESIS
Why we built SlateMoth
Why stronger models are only the beginning, and why SlateMoth builds the systems and products that turn AI capability into useful work.
Read thesis →SLATEMOTH / INSIGHTS
Notes on making intelligence useful.
Perspectives on model access, media workflows and the systems that make intelligence useful.
PRODUCT THESIS / KERNELWAKE
From content planning to verified publishing
KernelWake is developing an enterprise media agent for content planning, platform versions, review and verified publishing. Real generation and publishing integrations are still in progress.
Read product thesis →INSIGHT
What an AI gateway needs beyond API compatibility
A practical framework for the reliability, policy, metering and operational layers between model APIs and production AI products.
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Model routing in production AI systems
What model routing is, what signals can inform it, and why routing should be separated from reliability and policy controls.
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Metering multimodal AI: text, image, video and audio
A modality-aware approach to measuring AI usage without forcing every workload into a token-only model.
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Why AI billing needs a ledger, not just token counters
Why production AI billing benefits from separating usage measurement, pricing, balance movement and settlement.
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REST, SDK and MCP: where each interface belongs
A practical distinction between a core HTTP API, developer SDKs and MCP as an optional tool-facing integration layer.
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