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Benchmarks, design decisions and how-tos: building AI agents in Synsema, and deploying them with a permission manifest, sealed secrets and an audit trail. Every post is also Markdown: add .md to its URL.
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A confidential deployment nobody verifies is an ordinary deployment with extra cost. Here is the checklist a serious counterparty runs, what your side has to publish for it to pass, and the limits worth stating yourself before they ask.
A trusted execution environment hides your data from the operator. It does not stop your own code from leaking it, and it does not tell the client what is running inside. Synsema does both — information-flow labels and attestation are part of the language, not a library.
Telling a model "never call external APIs" is a request. A manifest the runtime enforces is a guarantee. What changes when permission is syntax, and why security teams say yes to one and no to the other.
Most agent secret leaks are not clever. The model was asked for the key and it had the key. Sealed secrets remove the second half of that sentence, and change what a security review has to check.
A lamp is a portable unit of capability. Its manifest declares what the code may touch, the Synsema runtime enforces it and records every check. Install one with lamp add, expose it to any agent with lamp mcp.
A gate that waits for a real person — in the terminal, or queued behind one-time links when the program runs as a server — and denies when nobody is there. An agent cannot fake an approval.
Top-tier throughput plus capability security built into the language itself — why Synsema is the best fit for AI-agent backends and any service that handles untrusted input.