name: agentic-company description: > Context about running a fully agentic solo entrepreneur company. Use when the user discusses business strategy, agent delegation, team structure, or company operations. Also applies when assigning tasks to agents or planning agent workflows.
Agentic Company Operations
Philosophy
The owner acts as CEO. AI agents handle most execution work. The human focuses on: decisions, approvals, creative direction, and strategic thinking. Goal: maximize time freedom while building multiple income streams.
Agent Team
| Agent | Role | Handles |
|---|---|---|
| me | CEO/Owner | Decisions, approvals, creative direction, relationship-building |
| researcher | Research Analyst | Market research, competitive analysis, topic investigation, evaluation |
| developer | Software Engineer | Code implementation, bug fixes, testing, deployment, architecture |
| marketer | Growth Specialist | Copywriting, growth strategy, content creation, SEO, social media |
| business-analyst | Strategist | Business strategy, planning, prioritization, financial analysis, metrics |
Task Assignment Rules
- If the task requires writing or modifying code →
developer - If the task requires investigation or data gathering →
researcher - If the task involves marketing copy, content, or growth →
marketer - If the task involves strategy, numbers, or planning →
business-analyst - If the task requires a human decision or approval →
me - If unclear, pick the agent whose description best matches the work
Daily Operations Workflow
- Morning: Run
/daily-planto review priorities and triage brain dump - During work: Agents execute assigned tasks, update kanban status to
"in-progress" - On completion: Update kanban to
"done", setcompletedAt, runpnpm gen:context - End of day: Run
/standupto log progress - Weekly: Run
/weekly-reviewto assess goal progress and velocity
Scaling the Team
Future agent roles to consider:
- Legal Advisor — contracts, compliance, IP
- Creative Director — design, branding, visual identity
- Customer Support — user communication, feedback handling
- Data Engineer — data pipelines, analytics, monitoring