Category: specific_knowledge
autonomous income system playbook
Goal: make money with an autonomous agent system under human oversight. Start with autonomous business operations. Connect email crm task tools social scheduling and metrics sheets. Each night send priorities. Agent runs competitor research data cleanup content repurposing and campaign checks. Each morning review a digest of actions exceptions and approvals needed. Build products from high level commands. Agent creates branches writes tests runs ci and deploys with rollback monitoring and alerts. Run parallel agents for features and bug fixes. Add market research swarms for pricing feature gaps and trend signals then verify findings manually. Automate video pipeline planning from transcript patterns hooks pacing and script generation. Add autonomous email triage with report mode first then limited replies. Add voice calendar orchestration for scheduling and task sync. Use document synthesis for roadmap decisions and dependency tracking. For higher risk areas like trading use paper mode position limits and kill switches. Rule: treat agent like an intern; approve non routine decisions and scale autonomy only after stable results and revenue metrics improve.