Blog
Essays on time-to-context, context engineering, and how AIs inherit each other's context.
How one AI inherits another's context: solving the handoff problem →Two AIs on one project share nothing. Here's why the context handoff breaks — and how an anchored ledger over MCP makes context portable between models.Context engineering: the discipline beyond prompt engineering →Prompt engineering shapes one request. Context engineering shapes what the model knows across every request — the discipline, and why it lasts.Give Hermes Agent a memory it can trust: Lifeline over MCP →Hermes Agent recalls what happened; it doesn't anchor why. Here's how Lifeline plugs in over MCP to give a self-improving agent a verifiable why layer.Share of context: the metric behind Lifeline →Share of context is the portion of an AI's reasoning that comes from your curated, anchored record — the AI-era metric Lifeline is built to move.Time-to-context: the hidden tax on AI-assisted development →Time-to-context is how long an AI needs before it can act correctly on your project — the real bottleneck in AI-assisted work, and how to drive it to zero.
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