Chief of Staff Agent Patterns Explode

Multiple first-person walkthroughs of practical chief-of-staff agents: email scanning agent with approval gate, Logan Currie free prompt, Jeremy Utley Teammate Stack, Alex Honchar Claude Code MCPs, Buzz project room parallel delegation. New additions: 'Using Agents as Tools' tutorial demonstrates clean multi-agent delegation with OpenAI Agents SDK; dinner recap with Town tool, Gemini calendar automation, Frankie Brain second brain; /today command tutorial using Claude and Markdown; AI Chief of Staff system with ladder framework (Reporting→Deciding) saving 1-2 hours daily. Latest: Seve's Genspark Claw 'Goose' — no-code chief of staff handling deal flow, commissions, project distribution, daily briefings via Slack/Notion/Xero, built in 30-40 minutes, with cost optimization. Also: Composio tutorial for building AI email agents with ChatGPT Work and Claude Cowork — concrete steps for triage, prioritization, follow-up detection. New: 'The 15-Minute AI System That Keeps Your Million-Dollar Goal on Track' — no-code chief-of-staff using Google Sheets, proactively reads data and redirects focus, beginner-friendly. New: first-person walkthrough of building an autonomous researcher using Tavily — concrete, replicable setup with search as a proper tool. New: ssdavidai/alfred — deep first-person walkthrough of self-hosting an AI chief of staff called Alfred, covering email backfill, behavioral profiling, and candid discussion of the supervision tax and maintenance overhead. Highly replicable patterns for saving hours. New: first-person CEO account of a system for staying sane amid AI project overwhelm — likely a practical workflow to avoid distraction. New: Magnitude — open-source local-first AI agent running entirely on-device with own inference engine, no API keys, capable of file/shell/office tasks. New: first-person benchmark of running a local LLM (122B on 3x3090s) as a personal AI agent with 90 tools, scoring 80/100 vs Claude's 89.4, at 787x lower cost — honest methodology, replicable setup using LangGraph and HomeLab Monitor. Also: practical guide on making AI agents predictable using AGENTS.md, steering files, and skills (Kiro, AWS Blocks examples).