How diffusion models work and why every AI builder should understand them

Y Combinator January 22, 2026

• Flow matching reduces the entire diffusion training loop to five lines of code.
• Diffusion has displaced autoregressive methods in images, proteins, weather, and robotics.
• 30 training samples can be enough to learn a three-million-dimensional distribution.

The Exact Claude Setup That Writes My Documents Automatically

Dylan Davis January 20, 2026

How to Use AI Tools to Build a Stronger Professional Network

Coaching for Leaders January 19, 2026

• Under 1% of LinkedIn users post — the bar to stand out is tiny.
• AI does the research legwork so you can focus on real relationships.
• The 24-7-30 follow-up model turns one meeting into a lasting connection.

How to stop AI context rot using the 60% rule

Dylan Davis January 17, 2026

• AI reliably degrades past 60% of its context window — every time
• A four-question handoff summary resets a dying thread in seconds
• File type determines token cost: video kills context, CSV saves it

Building AI apps with three documents: spec, blueprint, and to-dos

Dylan Davis January 15, 2026

• Three documents — spec, blueprint, to-dos — replace ad-hoc prompting entirely.
• AI interviews you to build the spec; blueprint embeds copy-paste coding prompts.
• Embed error lessons into a rules file so future AI sessions never repeat them.

Giving Claude unlimited memory using external note files

Dylan Davis January 13, 2026

• AI silently processes only 25% of large file batches
• Three local files act as persistent memory across context resets
• Works for transcripts, emails, tickets — no code needed

Why most AI products fail: Lessons from 50+ AI deployments

Lenny's Podcast Product Career Growth January 11, 2026

• Start with high human control; earn trust before granting agent autonomy.
• Non-determinism on both input and output breaks traditional product assumptions.
• Pain is the new moat: iteration cycles build knowledge competitors can't replicate.

How to extract and distribute expert knowledge using AI

Dylan Davis January 10, 2026

• One expert's 3x AI efficiency spread to 12 people = 36x leverage
• Three-phase system: extract from expert, package into system prompt, distribute
• Claude skills run autonomously in any conversation — no user setup required

AI tools ranked for business value and income potential in 2026

Dan Martell January 9, 2026

• Only a handful of AI tools actually generate income or automate core processes
• Zapier, ChatGPT, and Granola earn S tier — every business should use them
• Apple Intelligence earns F tier; most tools sit in niche B or conditional C

When to use AI vs code: a four-question decision framework

Dylan Davis January 8, 2026

• 95% accuracy means 1 in 20 paychecks is wrong
• If the logic is 'if X then Y', code beats AI every time
• Most tasks are hybrid — split them correctly to cut cost and error

How to use AI as a writing amplifier, not a replacement

Joanna Wiebe January 8, 2026

• AI handles 75% of writing work — do your 25% twice as well
• Upload your own manuscripts to AI; staying mediocre costs more
• Use AI to tear apart your copy before readers do

How to stay irreplaceable and build AI-powered businesses

KeyPersonOfInfluence January 4, 2026

• AI owns the functional middle — human value is initiation and closure
• Three ingredients build any AI product: IP, UX data, and LLM prompts
• Plural careers — running many things at once — become the new normal

Build AI Specialists with Projects and Gems Across ChatGPT, Claude, Gemini

Dylan Davis January 1, 2026

• Persistent AI specialists beat one-off chats by eliminating repeated context-setting.
• WWH framework — What, Why, How — structures prompts; optimizer then improves them automatically.
• A/B test specialists across all three platforms to find per-task model winners.

Running an eight-figure B2B business with 1.2 humans and 20 AI agents

Lenny's Podcast Product Career Growth January 1, 2026

• SaaStr replaced 10 salespeople with 20 agents at equal revenue
• Mediocre SDRs and BDRs are effectively extinct within 12 months
• Agents only work when you train them yourself — vendors can't do it alone

When and how to compare AI models effectively

Dylan Davis December 30, 2025

• 80% of tasks don't need multi-model comparison at all
• Never use the same model to review its own output — bias is real
• Track winners per use case; re-test when new models are released