AI strategy & adoption

YouTube

How to actually make money with AI: five brutal truths

Dan Martell May 14, 2026

---

AI strategy & adoption 9

Business models 8

Automation & tools 5

• AI is a hammer — you still need to find the nail
• Validate with manual "Wizard of Oz" delivery before automating anything
• Future orgs are workflow-based; humans own outcomes, agents own tasks

Read more →

AI strategy & adoption

YouTube

How to choose the right home for your AI workflow

Dylan Davis May 13, 2026

---

AI strategy & adoption 9

Automation & tools 6

• AI defaults to building apps — that's usually the wrong choice
• 85–90% of workflows belong inside a project or skill, not deployed code
• Deploying an app triggers per-token API costs that subscriptions don't cover

Read more →

AI strategy & adoption

YouTube

How to build a self-running AI company in five layers

Silicon Valley Girl May 12, 2026

---

AI strategy & adoption 9

Processes & SOPs 8

Business operating systems 6

• A tool-agnostic data layer is the foundation everything else depends on.
• Scheduled agents gave one producer 75% of her week back.
• AI search visibility is now a real channel — most sites are nearly invisible to bots.

Read more →

AI strategy & adoption

YouTube

A four-step AI audit process for high-stakes outputs

Dylan Davis May 9, 2026

---

AI strategy & adoption 9

Processes & SOPs 5

• Almost-right AI answers are harder to catch than wrong ones
• Each audit step runs in a fresh AI conversation to prevent bias
• Four claim labels tell you exactly what to fix, remove, or review

Read more →

AI tools & automation

YouTube

Why AI agents still fail at multi-step tasks — and what to do about it

EO May 4, 2026

---

AI tools & automation 9

AI strategy & adoption 8

Iteration & feedback loops 6

• 90% per-step accuracy still means most multi-step workflows fail
• Shipping unreliable agents and calling it normal is a choice
• Transparency in what agents did builds user trust over time

Read more →

AI strategy & adoption

Podcast

Why most AI rollouts fail and how to fix yours

How I Work May 3, 2026

---

AI strategy & adoption 9

Management 7

Processes & SOPs 6

• Average AI rollout saves just 2.5% of time — here's why.
• Untrained users don't save time; they produce AI slop.
• 80 hours of task-based training returns 14 hours per week.

Read more →

Prompt engineering

YouTube

How to update prompts for GPT-5.5 and modern AI models

Dylan Davis May 2, 2026

---

Prompt engineering 9

AI strategy & adoption 6

• Step-by-step mega-prompts actively limit what modern AI can do
• Binary success criteria help AI self-check before returning output
• Confident hallucinations require proof requirements, not just 'don't lie'

Read more →

AI tools & automation

YouTube

Six AI business ideas you can start in 2026 without coding

Silicon Valley Girl May 1, 2026

---

AI tools & automation 9

Business models 8

AI strategy & adoption 7

• Real companies already run at 10x output with 75% fewer staff.
• Six specific models — from this-week services to scalable SaaS.
• No coding, no funding, no Silicon Valley connections required.

Read more →

AI strategy & adoption

YouTube

Ranking 14 AI business models: which ones actually make money

Dan Martell April 30, 2026

---

AI strategy & adoption 9

Business models 8

Prospecting & outreach 5

• AI agent development is the top pick — most can't explain it yet.
• Faceless YouTube channels and trading bots are outright F-tier traps.
• Validate, pre-sell, launch manually — build product last, not first.

Read more →

AI tools & automation

Podcast

Why AI will not automate most office jobs within 12 months

Deep Questions with Cal Newport April 30, 2026

---

AI tools & automation 9

AI strategy & adoption 6

• Suleyman's 12-month automation claim contradicts every other major AI CEO.
• Coding agents succeeded via harness engineering, not smarter models — and that's hard to replicate.
• LLMs can't make correct plans, only reasonable-sounding ones — agents fail outside coding.

Read more →

AI strategy & adoption

YouTube

Demis Hassabis on AGI, agents, and AI-driven scientific discovery

Y Combinator April 29, 2026

---

AI strategy & adoption 9

Long-term planning 7

AI tools & automation 6

• AGI needs continual learning — context windows are brute-force, not intelligence.
• AlphaFold's pattern: combinatorial search space, clear objective, enough data.
• Plan your deep-tech startup around AGI arriving mid-journey, circa 2030.

Read more →

AI tools & automation

YouTube

Six AI tools founders actually use to grow income

Silicon Valley Girl April 27, 2026

---

AI tools & automation 9

AI strategy & adoption 7

Automation & tools 5

• Deep context beats prompt skill — feed AI your decisions, docs, and voice.
• Same team, twice the content: Claude projects doubled one creator's revenue.
• Non-engineers built a 7M-user Duolingo course in six months with vibe coding.

Read more →

AI strategy & adoption

Podcast

What AI capability really looks like in high-performing teams

How I Work April 26, 2026

---

AI strategy & adoption 9

Processes & SOPs 6

Management 5

• Adoption metrics like license counts are vanity — they hide real performance gaps.
• AI literacy gets you started; workflow re-engineering is where gains actually come from.
• Most teams lack workflow architecture skills — that's the critical bottleneck to fix.

Read more →

No-code & low-code

YouTube

Replit's CEO on building software without code and the future of work

Y Combinator April 25, 2026

---

No-code & low-code 9

AI strategy & adoption 8

Founder interviews 6

• Domain experts now build better software than outsourced dev teams.
• Only two roles survive AI: builders and salespeople-as-educators.
• True product-market fit is unmistakable — mild traction is not it.

Read more →

AI strategy & adoption

YouTube

How to build an AI-native company from the ground up

Y Combinator April 24, 2026

---

AI strategy & adoption 9

Business operating systems 8

Automation & tools 6

• AI is a new capability layer, not just a productivity boost
• Every company process should run as a self-improving closed loop
• Three archetypes replace middle management in AI-native orgs

Read more →