Agentic Life
The shift is no longer theoretical. Gartner expects task-specific agents to enter enterprise applications rapidly, while McKinsey frames agentic AI as an infrastructure and operating-model shift.
My view is simple: build agents like a great team. Hire for a role, train on real work, set boundaries, and create leverage across software, research, security, and personal operating workflows.
Agent Library
The main library is intentionally curated for public credibility: product, design, engineering, review, research, security, and personal workflow examples. Templates that sound like private CRM, email, or investment systems are separated from the default path.
The default library shows public-safe operating roles: product, design, engineering, review, research, security, and personal workflow examples. Private assistants and investment templates are intentionally separated below.
Turns vague ideas into scope, user value, acceptance criteria, and release sequencing.
Use when an idea needs product clarity before design or engineering starts.
Turns product intent into usable flows, hierarchy, layout direction, and design critique.
Use before frontend work or when a page feels unclear, generic, or hard to scan.
Builds clean, responsive UI from clear product and design intent.
Use when design direction is clear and needs production frontend code.
Builds APIs, services, data flows, and server-side logic with clear contracts.
Use when a product needs reliable backend behavior or integration work.
Frames technical tradeoffs, system boundaries, and implementation sequence.
Use before major builds, refactors, integrations, or platform decisions.
Creates practical test coverage and release checks for product behavior.
Use when you need confidence that the product works beyond the happy path.
Reviews privacy, secrets, data exposure, permissions, release gates, and DevSecOps risk before work ships.
Use before public release, private-data access, or external integrations.
Reviews code for bugs, regressions, maintainability, and missing tests.
Use after implementation and before merging or deploying.
Finds, compares, and summarizes evidence from public or provided sources.
Use when a decision needs structured research instead of loose browsing.
A personal operating-system pattern for goals, tasks, learning, reminders, and lightweight life admin.
Use when personal goals, admin, and learning need an operating rhythm.
Turns a repetitive reimbursement workflow into a reusable checklist, evidence pack, and human-approved submission path.
Use when a recurring admin workflow needs structure before any final submission.
Secondary templates
Email, relationship, and investment templates are useful, but they require stricter local context and human approval. They are not part of the main CXO path.
Start
Use these with Codex, Claude Code, or any agent tool that accepts Markdown instructions. Start with one agent and one workflow. Add orchestration only when multiple agents need to coordinate.
Security
Public templates are starting points for learning. Do not add API keys, personal data, private emails, internal prompts, credentials, or client-confidential material. Review outputs yourself before using them for code, investing, compliance, health, or security decisions.
Signals