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In this episode, Jenna Williams (@jennawrites) breaks down the exact playbook she used to grow Wordsmith from 200 to 50,000 subscribers in 14 months — without paid ads.

We get into:
- (00:02:14) Why niche-down beats "general advice" in 2026
- (00:08:42) The "Friday Drop" system that increased her open rate from 23% → 41%
- (00:21:30) Her three highest-converting CTAs ranked
- (00:34:55) The mistake every new writer makes in their first 90 days
- (00:48:20) How she handles burnout with a once-a-quarter "creator sabbatical"

**Key takeaways**
1. Pick one specific reader and write to them. Generic newsletters die.
2. Consistency > brilliance. The Friday Drop only works because it ships every Friday.
3. Promote in the body, not the header. Pre-headers earn the open, body sells the click.

**Resources mentioned**
- Wordsmith newsletter — https://wordsmith.beehiiv.com
- "On Writing Well" by William Zinsser
- Jenna's free 5-day course on niche-finding

Solo episode this week — the system I've been using for 18 months that completely rewired how I work.

**The 30-Minute Rule**: between every "deep work" session, take a 30-minute walk. No phone. No podcast. Just walk.

I cover:
- Why "switching cost" between tasks is the productivity killer nobody talks about
- The neuroscience research behind why walking specifically beats sitting breaks
- How to build the habit when your calendar is already packed
- The two-week experiment I recommend if you want to test this for yourself

**The walk works because:**
1. It enforces a hard stop (you physically leave the desk)
2. Movement boosts working-memory consolidation
3. No input = your subconscious gets to chew on the previous task
4. You return with a fresh frame for the next block

If you try this for two weeks, tag me on Twitter — I want to hear your results.

An honest, sometimes-heated discussion between three senior engineering leaders on whether dedicated "AI Engineers" are a 2026 role or a hype-cycle artifact.

**On the panel:**
- Maria Chen — VP Engineering, Stripe (former Anthropic)
- David Park — CTO, mid-size SaaS, 80-engineer team
- Sarah Liu — Independent consultant, ex-Google AI

**The disagreement, summarized:**
- Maria (00:04:00): "Most AI Engineer postings are just 'senior backend engineer who can ship with Claude.' That's not a new role."
- David (00:11:20): "We hired 4 dedicated AI Engineers in Q1. The output difference is real. They think in evals, not deploys."
- Sarah (00:18:45): "Both can be true — it's a real specialization at certain company sizes, a fashion title at others."

**Where they agreed:**
- Eval discipline is genuinely a new core skill
- Prompt-engineering as a standalone role doesn't survive 2026
- The "AI Engineer" title premium is 18-30% and shrinking
- Within 18 months this becomes "engineer who knows AI" the way "mobile engineer" became "engineer who knows mobile"