Every cycle ends with Synapse measurably better than yesterday.
Synapse's evolution layer: a daily 5-step loop — scan signals → publish bulletin → expert score → Lysander dispatch & track → evolve capabilities. L3 items dispatched autonomously by Lysander, L4 items notify the Synapse Owner, L5 items pause for an Owner call; every cycle's output is publicly archived.
Five steps. One system upgrade, every day.
Scan — Signal capture
AI frontier and market signals are collected, filtered for actionable value, and staged as raw intel entries.
Bulletin — Daily intel report
Signals are rendered as an HTML intelligence report, auto-committed to git at 08:00 Dubai and publicly archived.
Decision — Expert scoring
Four-dimension VACE scoring and WSCORE action grading — each intel item is labelled execute, track, or defer.
Track — Dispatch and follow-up
Approved items dispatch to execution teams, written to active_tasks.yaml for cross-session tracking.
Evolve — Capability gain
Completed actions become capability improvements. Decisions are archived, pipeline health is checked, next cycle begins.
A self-improve pipeline — not a newsletter
This is not a daily newsletter. It is Synapse's self-improvement mechanism. Signals come in, decisions come out, actions happen, capabilities improve.
Every cycle leaves a verifiable trace — what we learned, what changed, what evolved. Over months, the archive becomes a compounding capability curve: proof of how an AI system continuously improves itself.
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Synapse ships with the evolution layer included. Your first cycle starts the morning you open Claude Code.