How To Actually Use AI To Grow Your Career
Most important take away
Build a “Brag Book” — a running, one-page-per-year record of your wins, impact, and shipped work — and store it somewhere you personally control (not your work laptop). Use AI agents like Notion Agent to mine your meeting notes, Slack, GitHub, and other tools to automatically extract and structure achievements you would otherwise forget by performance review time.
Summary
Career Advice — Actionable Insights:
- Keep a Brag Book. A one-page-per-year living document of wins, shipped projects, and measurable impact. Not a to-do list or work log — only what matters for your career narrative. Over a 45-year career, you end up with 45 pages of “greatest hits.”
- Store it on personal infrastructure, not company systems. If you’re laid off or let go, you lose laptop access immediately. Put the Brag Book in a personal cloud account (personal Notion, Google Drive, etc.) — never anywhere your employer can revoke access.
- The author’s cautionary tale: Shipped a major launch at Amazon in late January, got a new manager by review time the next year, neither remembered the launch, received “meets expectations” instead of a likely “exceeds expectations” — a significant raise lost because nothing was written down.
- Don’t trust memory. Yours is unreliable at the months-to-years timescale, and your manager’s is no better. Work is scattered across Slack, meetings, docs, emails, and PRs.
- Handle corporate LLM restrictions properly. If your company forbids feeding internal info to external LLMs, use an approved internal LLM first to summarize and strip project names, code names, customer names, and proprietary details. Then move that sanitized output into your personal Brag Book system.
- Always review AI output. AI gets you ~95% there in minutes; the last 5% is human verification. The author’s first run incorrectly attributed coaching client wins to himself because meeting transcripts didn’t label speakers.
- Reuse the Brag Book everywhere. Performance self-assessments, resume bullet points, promo docs, interview prep — one source of truth, many formats.
Tech Patterns Mentioned:
- Notion Agent as the central tool — connects to Slack, GitHub, Google Drive, Linear, and Notion’s built-in meeting transcription feature.
- Agent planning loop pattern: “Search → Read → Decide → Create” — distinguishes agentic workflows from simple LLM prompts. The agent forms a plan, traverses your data, and produces structured artifacts.
- Structured database extraction: Prompt the agent to build a database with explicit columns (date, achievement, impact, evidence, skills) rather than asking for prose. The “evidence” column links back to the source meeting note for traceability.
- Filtering instructions in the prompt: Explicitly tell the agent what to exclude (e.g., “exclude my client coaching sessions”) and what counts as an achievement (shipped, launched, or hit a business goal).
- Format-shifting from one source dataset: Same Brag Book → self-assessment summary, resume bullets (“lead with action, emphasize measurable impact, keep it crisp”), peer feedback drafts, one-on-one prep docs.
- Sanitization pipeline pattern for sensitive data: internal-LLM summarize-and-strip → export sanitized output → ingest into personal/external system.
- Upcoming scheduling feature in Notion Agent will allow recurring automation (e.g., a weekly Friday work-log generation).
Additional Notion Agent Use Cases Suggested:
- Weekly work log auto-generated from meeting notes and connected platforms
- One-on-one prep docs with recent wins, blockers, and discussion topics
- Peer feedback request drafts grounded in actual shared project work
- Skills inventory / pattern analysis across your Brag Book to identify strengths and gaps
Chapter Summaries
1. The Cautionary Tale (Opening) — The host recounts losing a likely “exceeds expectations” rating at Amazon because he forgot a major launch he’d shipped a year earlier and had nothing written down. Frames the entire video around the cost of unreliable memory.
2. What Is a Brag Book — Defines the Brag Book as a running record of wins, impact, and shipped work — not a to-do list. One page per year, building into a career-long greatest-hits document.
3. Where to Store It — Critical warning: store it in a personal cloud account, never on a work laptop or company system, because access can be revoked instantly when you leave a company.
4. Working Within Corporate LLM Restrictions — Practical workaround for those who can’t use external LLMs with internal data: use an approved internal tool to sanitize notes (strip project/customer/code names), then bring the cleaned output into a personal Brag Book.
5. Notion Agent Demo Setup — Walks through using Notion’s meeting transcription feature plus Notion Agent’s connections to Slack, GitHub, Drive, and Linear to mine career context.
6. Building the Brag Book Database — Prompts the agent to review meeting notes, exclude coaching sessions, and create a database with date/achievement/impact/evidence/skills columns. Highlights the agent’s “Search → Read → Decide → Create” planning pattern.
7. Reviewing the Output — Scrolls through the generated 2025 Brag Book entries (revenue milestones, podcast production system, hiring pipeline, audience growth, book manuscript, newsletter growth). Notes a real failure mode: the agent misattributed client wins because transcripts don’t label speakers — always verify.
8. Using the Brag Book — Demonstrates reformatting the same data into a performance self-assessment focused on impact and leadership, then into resume bullet points emphasizing action and measurable impact.
9. Beyond the Brag Book — Additional Notion Agent workflows: automated weekly work logs (when scheduling launches), one-on-one prep docs, peer feedback drafts, and a skills inventory built from pattern analysis of your achievements.
10. Closing Principles — Tool-agnostic takeaway: document your wins, store them somewhere you control, and do it consistently. Your career depends on doing great work, remembering it, and being able to prove it.