ConceptDiscovery layer

BlackFlare Wake Window Model

BlackFlare's core mechanic is narrow: it keeps a Mac awake while Claude Code or Codex runs and pings desktop, Telegram, or Slack the moment a session finishes or needs input.

By InnovaAI ResearchPublished

What is BlackFlare Wake Window Model?

“Unattended agent runtime → billable capacity recovered”

Session start to Slack alert to next operator pickup

BlackFlare's core mechanic is narrow: it keeps a Mac awake while Claude Code or Codex runs and pings desktop, Telegram, or Slack the moment a session finishes or needs input. Treat that as a capacity calculation, not a convenience. An agency running agent sessions across a three-person delivery pod loses the machine's attention every time the lid closes or the operator walks away. Premium costs $8 one-time and covers up to 3 Macs, so the marginal cost of instrumenting a whole pod is trivial against a single recovered afternoon. The framework: before quoting any AI-assisted retainer, map each session to its unattended window, route completion alerts to a shared Slack channel so a second operator can pick up the next step, and use per-model usage bars to see which model each client engagement actually burns. Free covers menu bar status and usage tracking; desktop notifications run free for the first 7 days, which is enough to pilot before committing.

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