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The '6-Month Project' Is Dead: How I Executed a Brand Revamp in 4 Weeks
A personal, honest account of rebuilding a brand from scratch in four weeks — the late nights, the Vercel identity crisis, the moment it clicked, and what it proved about what's possible when you stop waiting for permission.
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Managing the 'AI Hustle' Without Burning Out: My Automation Secrets
The pressure to do more with AI is real — and exhausting. Here's an honest look at the burnout risk of building automation while running strategy, and the framework I use to protect my thinking time.
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Scaling SEO in 2026: Why Data-Driven Content Beats Keyword Stuffing
SEO in 2026 is about semantic authority and entity coverage, not keyword density. Here's a practical framework for using AI and GSC data to build content that actually ranks.
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The Full-Stack PMM: How to Lead Dev, Design, and Sales Through One AI Bridge
Traditional PMMs translate between teams. Full-Stack PMMs build the bridge itself. Here's what it looks like to operate across Dev, Design, and Sales — without becoming a bottleneck.
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Using NotebookLM to Turn Competitive Research into a Private GTM Podcast
NotebookLM's audio overview feature is genuinely underrated for PMMs. Upload competitor battle cards, analyst reports, and win/loss data — and get a private briefing podcast your sales team will actually listen to.
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Automating the 'Un-Automatable': High-Fidelity Sales Decks via Gamma and Figma
Everyone automates blog posts. Almost no one has cracked high-fidelity design at scale. Here is how Gamma, Figma, and a Make.com CRM trigger combine to deliver a polished first-draft sales deck in two hours instead of two weeks.
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Preventing Hallucinations: Building a QA-First Automation Engine on Make.com
The number one fear with AI-generated content is factual errors. Here is a practical QA layer built in Make.com — using Source Anchoring to ground every AI output in verified data before it ever reaches a human reviewer.
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How to Integrate Bitbucket Data into Your Content Pipeline Automatically
Most PMMs treat dev tools as someone else's problem. Here's how connecting Bitbucket commit logs, PR activity, and release data into a Make.com automation creates a self-updating content engine — so you never wait three days to find out what shipped.