Stewart Vickers AI

Watch the video: https://www.youtube.com/watch?v=hPh6Td3IvgA

Basalt runtime + Qwen3.8 Flash-Next just posted 665 tokens per second on structured output, 354 on prose - free weights, open runtime, single GPU. Your OpenAI bill does not know yet.
Playbooks + my answers, free - Church of SEO Jesus: https://www.skool.com/church-of-seo-jesus

What you get in this video:
- Why 80% of your current API spend (classification, extraction, scoring, tagging) is the grunt tier that just got repriced
- The exact split: Basalt + Qwen3.8 Flash-Next for schemas, Claude and GPT for reasoning and prose
- The P&L math: a $1,000 OpenAI invoice becomes a ~$100 GPU rental on the grunt tier (estimated, swap your real numbers)
- The one sentence you give your developer on Monday to return a working bake-off by Friday
- The match-rate kill switch: 95% migrate, 85% hybrid, 70% stay put

Sources:
- Reddit r/LocalLLaMA thread (the only cited source): https://www.reddit.com/r/LocalLLaMA/comments/1x223ai/basalt_flashnext_at_665_toks_structured_354_prose/
- OpenAI pricing (for the vendor side of the math): https://platform.openai.com/docs/pricing
- Anthropic pricing: https://www.anthropic.com/pricing

Flag: hardware, batch size and quantization are not stated in the headline Reddit post. Treat the exact 665 figure as estimated until an independent reproduction lands. The thesis survives if the number halves.

Chapters:
00:00 Basalt + Qwen3.8 Flash-Next posts 665 tok/s on Reddit
00:27 What Basalt runtime and Qwen3.8 Flash-Next actually are
01:30 Structured output is the boring 80% of your API bill
02:10 The P&L math: $1,000 OpenAI bill becomes a $100 GPU box
02:40 Soft subscribe + pinned comment pointer
03:08 Verify the 665 and 354 numbers yourself on Reddit
03:25 What is estimated vs measured in this video
03:45 The workloads that migrate: enrichment, parsing, tagging, review mining
04:02 GPT-4o-mini vs hosted Qwen3.8 Flash-Next cost walk
04:44 Who gets undercut first: agencies, SaaS COGS, markup floors
05:08 What does NOT move: reasoning, long context, Claude-grade prose
05:28 The router rule: schema goes open, paragraph stays paid
05:48 Why prose at 354 tok/s is the warning sign
06:12 The Monday-to-Friday bake-off instruction
06:46 Match-rate kill switch: 95%, 85%, 70%
07:08 Hosting warning: pay a vendor's margin before you learn devops
07:34 Why first movers eat the pricing in their category
07:48 Church of SEO Jesus: the bake-off script and router code
08:12 Next: the free runtime that broke the quiet pricing agreement

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=jwTCtikSL2Y

Anthropic shipped Claude Code v2.1.296 yesterday and quietly halved the Sonnet 5.5 cache read price - the single biggest line on any agent bill that re-reads your codebase daily.
Playbooks + my answers, free - Church of SEO Jesus: https://www.skool.com/church-of-seo-jesus

What you get in 7 minutes:
- The one env var (CLAUDE_CODE_WORKFLOW_SUBAGENT_MODEL) to send your developer today
- Why Sonnet 5.5 cache reads dropping from $0.20 to $0.10 per million tokens cuts your weekly agent invoice roughly in half
- The two Windows fixes that stopped silent file corruption on Shift-JIS, GBK and Windows-1252 codebases
- The PowerShell allow-rule ceiling jumping 32x (from ~1 KB to 32 KB)
- The MCP tool description cap doubling to 4,096 characters

Sources:
Claude Code v2.1.296 release notes: https://github.com/anthropics/claude-code/releases/tag/v2.1.296
Anthropic pricing: https://www.anthropic.com/pricing

Chapters below.

Chapters:
00:00 Claude Code v2.1.296 shipped yesterday
00:22 Operator take on v2.1.296
00:45 Sonnet 5.5 cache reads halved to $0.10/M
01:18 Who actually hits the cache
01:45 CLAUDE_CODE_WORKFLOW_SUBAGENT_MODEL explained
02:21 Subscribe + Free Church ask
02:52 Terminal demo on the release notes
03:55 Windows PowerShell 32 KB fix
04:25 Edit tool refuses Shift-JIS and GBK files
05:01 allow_large, autoCompactWindow, 4,096 MCP cap
05:45 Who gets undercut this week
06:05 Church of SEO Jesus playbook
06:30 One action in the next ten minutes
06:56 Haiku vs Opus bill benchmark

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=zQhi_yAShwY

How to play blackjack in 2026, every rule in the exact order they happen in one round: bet, deal, check for blackjack, your five moves, then the dealer's forced hit-to-17. Card values, hand signals, and the three payouts, in five steps.

TL;DR:
- Blackjack is you vs the dealer only, never the other players at the table.
- Card math is three lines: 2-10 face value, J/Q/K count 10, Ace is 1 or 11 (whichever helps).
- You have exactly five moves: Hit, Stand, Double Down, Split, Surrender (Surrender is table-dependent).
- Payouts: standard win 1:1, natural blackjack 3:2 at a good table or 6:5 at a bad one, push returns your bet, bust loses.
- The dealer is on rails: must hit until 17 or higher, must stop at 17. That predictability is why basic strategy works at all.
- Skip insurance. Bicycle Cards, the deck manufacturer, prints "avoid insurance" in its own rules page.

Based on my read of publicly available rules pages as of September 2026 (Bicycle Cards, The Venetian Las Vegas, Metropolitan Casinos); house rules vary table to table, always check the felt.

Step 1: Place a bet - chips into the marked circle before any cards come out; table minimum and maximum are on the placard.
Step 2: The deal - two cards face up to you, one upcard and one hole card to the dealer.
Step 3: Check for blackjack - Ace + any 10-value in your first two cards pays 3:2 immediately.
Step 4: Your five moves - Hit, Stand, Double Down, Split, Surrender, all via hand signal because cameras record every hand.
Step 5: Dealer's turn - flip the hole card, hit until 17, stop at 17 (some tables force a hit on soft 17, check the felt).

FAQ
What is a soft 17 in blackjack? A soft 17 is any 17 that contains an Ace counted as 11, like Ace + 6. It is called soft because drawing one more card cannot bust the hand. Some tables force the dealer to hit soft 17, others force stand; the rule is printed on the felt.
Should I take insurance in blackjack? No, skip insurance. Bicycle Cards, the deck manufacturer, states in writing that insurance loses more than it wins over time, and every basic strategy chart agrees.
What is the difference between 3:2 and 6:5 blackjack payouts? A 3:2 table pays $15 on a $10 blackjack; a 6:5 table pays $12 on the same hand. Sitting at a 6:5 table costs about 1.4% of your money before the first card is dealt.
Do you touch the cards at a casino blackjack table? No, players never touch the cards at a casino blackjack table. Every move is a hand signal because overhead cameras record every hand for dispute resolution.

Chapters below.

Sources:
- Bicycle Cards - How to Play Blackjack: https://bicyclecards.com/how-to-play/blackjack
- The Venetian Las Vegas - How to Play Blackjack: https://www.venetianlasvegas.com/resort/casino/table-games/how-to-play-blackjack.html
- Metropolitan Casinos - How to Play Blackjack for Beginners: https://www.metropolitancasinos.com/casino-life/how-to-play-blackjack-for-beginners/

Chapters:
00:00 The objective: beat the dealer, not the table
00:26 Card values in three lines (2-10, J/Q/K, Ace)
01:00 Step 1: Place a bet
01:18 Step 2: The deal (upcard and hole card)
01:39 Step 3: Check for natural blackjack (3:2 payout)
02:32 Step 4: Your five moves - Hit, Stand, Double, Split, Surrender
03:39 Hand signals (why you never touch the cards)
03:59 Step 5: Dealer hits to 17, stops at 17
04:26 The three payouts: 1:1, 3:2 or 6:5, push, bust
04:49 Why Bicycle Cards tells you to skip insurance
05:16 Soft 17, insurance, 3:2 vs 6:5 (three FAQs)
06:29 Next: AI Overview queries worth targeting

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=iBi4oezIP-I

How to bet on horse racing in 2026, in five steps and every bet type a beginner will meet: pick your horse, decide your stake, choose your bet type (win, each-way, accumulator, Placepot, forecast), state the bet at the counter in one sentence, keep the ticket, and wait for 'Weighed in!' before you collect.

TL;DR:
- The whole sentence at the counter is nine words: 'Number 3, £5 to win.' Horse number, stake, bet type.
- Bookmakers in the ring take win and each-way. The Tote takes win, place, exacta, trifecta, quadpot and placepot at every Jockey Club course, minimum £2, cash or card.
- Each-way is two bets stapled together: one for the win, one for the place. If the horse wins, both halves collect.
- You do not collect until 'Weighed in!' comes over the tannoy. That is when the jockeys have weighed in with kit and saddle and the result is official.
- On-course you hand the ticket back to the same operator for cash. Online, the balance updates the moment the result is official.

Step 1: Choose your horse - racecard, paddock, or a name you like the sound of. All three are sanctioned on Great British Racing's own how-to-place-a-bet page.
Step 2: Decide your stake - Tote minimum is £2, on-course bookmakers post their minimum on the board next to the odds screen.
Step 3: Pick your bet type - win for the horse you believe in, each-way for the outside chance, Placepot if you are staying for the whole card.
Step 4: State the bet - horse number, stake, bet type. 'Number 3, £5 to win.' Check the ticket matches before you walk off.
Step 5: Keep the ticket - it is a bearer bond. Whoever holds it collects, once 'Weighed in!' is called.

Sources:
- Great British Racing, How to Place a Bet: https://www.greatbritishracing.com/how-to-place-a-bet/
- The Jockey Club, Betting at the Races: https://www.thejockeyclub.co.uk/the-experience/betting/

FAQ:
Q: What do you say to place a bet at a horse race?
A: Number 3, £5 to win. State the horse number, then the stake, then the bet type. Great British Racing prints that exact script on its own how-to-place-a-bet page.

Q: Does each-way pay if the horse wins outright?
A: Yes. Each-way is two bets: one on the win, one on the place. If the horse wins, the win half pays at full odds and the place half pays at the reduced place fraction. You get more money, not less.

Q: What is the minimum bet at a British racecourse?
A: The Tote's minimum is £2, cash or card, at every Jockey Club course. On-course bookmakers post their own minimum on the board next to the odds screen for the next race.

Q: When do you collect your winnings after a horse race?
A: When you hear 'Weighed in!' over the announcement system. That confirms the jockeys have weighed in with their kit and saddle and the result is official. On-course you take the ticket back to the same operator; online, the balance credits automatically.

18+. Please gamble responsibly. Only stake what you can afford to lose.

#horseracing #bettingforbeginners #howtobet

Chapters:
00:00 The 9-word bet sentence
00:48 5 bet types: win, each-way, accumulator, Placepot, forecast
01:31 Step 1: Choose your horse
01:58 Step 2: Decide your stake (Tote £2 minimum)
02:19 Free Church + channel promise
02:48 Step 3: Pick your bet type (Tote vs ring bookmaker)
03:23 Step 4: State the bet ('Number 3, £5 to win')
04:04 Step 5: Keep the ticket and wait for 'Weighed in!'
04:54 Verification: check the Great British Racing page
05:12 FAQ: each-way, Tote vs bookmaker, on-course vs app
06:09 Free Church + next video

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=al5vHdMDhpk

How do bet builders work in 2026? A bet builder is a custom accumulator built from multiple picks inside ONE match, sold as Bet Builder on bet365, Build a Bet on Sky Bet and Same Game Parlay on US sportsbooks; every leg must win, and the odds are correlation-adjusted rather than multiplied.

TL;DR:
- Bet builder = one custom accumulator inside a single fixture, not across different matches.
- Bet Builder (bet365), Build a Bet (Sky Bet) and Same Game Parlay (DraftKings and other US sportsbooks) are the same product with three brand names.
- Odds do not simply multiply because the picks are correlated inside one game, so linked outcomes pay less than raw acca math suggests.
- Any leg loses, the whole slip dies. No partial payout, no refund.
- If a named player does not start, most bookmakers void that leg and recalculate the rest per their own settlement terms.

Based on our research of publicly available information as of September 2026; per-bookmaker settlement wording differs and some US Same Game Parlays are sold at pre-priced combos rather than live-recalculating.

Chapters:
00:00 What a bet builder actually is
00:18 The five steps in one line
00:40 Step 1: Pick one fixture (bet365 football lobby)
01:03 Step 2: Open the Bet Builder tab (bet365, Sky Bet, Paddy Power)
01:20 Step 3: Add your selections (match winner, goals, corners, player shots, cards)
01:42 Step 4: Watch the odds recalculate (Man City v Arsenal worked example)
03:01 Step 5: Enter stake and confirm
03:29 Q1: Bet Builder vs Build a Bet vs Same Game Parlay
04:02 Q2: Named player does not start
04:34 Q3: Why the odds do not multiply
05:00 Verify it yourself on bet365, Sky Bet and Paddy Power
05:26 Two things worth knowing
05:43 One-line recap

FAQ
Q: Are Bet Builder, Build a Bet and Same Game Parlay the same thing?
A: Bet Builder (bet365), Build a Bet (Sky Bet) and Same Game Parlay (DraftKings and other US sportsbooks) are the same product sold under three brand names; the mechanic is identical, only the label on the tab changes.

Q: Why don't bet builder odds multiply like a normal accumulator?
A: Bet builder picks are correlated because they all sit inside one match, so bookmakers price the joint probability of linked outcomes rather than multiplying the two independent prices; that is why £10 at a raw acca price of 54.0 pays around £170 instead of £540.

Q: What happens if a named player in my bet builder does not start?
A: Most bookmakers void that specific selection and recalculate the bet builder without it, leaving the rest of your slip live; bet365, Sky Bet and Paddy Power each word this differently, so read the settlement terms on the tab before you place the bet.

Q: What happens if one leg of a bet builder loses?
A: The whole slip loses. There is no partial payout, no consolation and no refund, exactly like a standard accumulator.

Sources:
https://www.oddsmonkey.com/blog/matched-betting/how-bet-builders-work/
https://help.bet365.com/s/en/bet-builder-queries
https://sports.yahoo.com/bet-builders-research-methods-man-163000513.html

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=JiT41LzuV6g

Some guy wrote 235 lines of markdown at the weekend and Claude Code Skills turned it into a chess coach that beats the $30/month app. The same four-part shape replaces the $400/hr analyst you already pay.
Playbooks + my answers, free - Church of SEO Jesus: https://www.skool.com/church-of-seo-jesus

What you get in this video:
- What a Claude Code Skill actually is (a markdown file in ~/.claude/skills, no API, no server, no engineer)
- The 4-part pattern that replaces any recurring analyst: role, checklist, tool wrappers, output format
- Live build: a 17-line Facebook ad audit skill fed a fake account and returned a senior-auditor verdict
- How brumar/chess-postmortem-skills wraps Stockfish + whisper.cpp inside one SKILL.md
- Where the $5,000/month of rented analyst work actually lives on your P&L

Sources:
- brumar/chess-postmortem-skills: https://github.com/brumar/chess-postmortem-skills
- HackerNews thread: https://news.ycombinator.com/item?id=49857528

Chapters:
00:00 Claude Code Skills killed the $400/hr analyst
00:28 What a Claude Code Skill actually is
01:00 The chess-analysis skill, Stockfish, and whisper.cpp
02:12 Grab the business skill files (free)
02:35 Live build: a 17-line Facebook ad audit skill
04:10 Verify the 235 lines yourself on GitHub
04:40 How the four chess skills compose into a department
05:20 The $5,000/month of rented analyst work
05:55 Caveats: local tools, trigger loading, judgment vs checklist
06:45 What Anthropic dropped this week that changes the cost curve

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=hj3VVEuXlyc

Six point seven million people already stopped paying for ChatGPT and switched to Jan, a free open-source desktop app that runs Llama, Qwen, Mistral, DeepSeek and Gemma on your own laptop with nothing leaving the machine.
Playbooks + my answers, free - Church of SEO Jesus: https://www.skool.com/church-of-seo-jesus

What you get in this one:
- Why Jan 0.8.4 (published July 23) is the release that made it compliance-safe: API keys moved out of browser storage into the OS keyring
- The exact model to pick for 16GB, 32GB and 64GB laptops, and the workflows I already moved off ChatGPT Team onto Jan
- How to keep GPT-5 and Claude for hard jobs while sensitive prompts stay on the local model, from the same interface
- The OpenAI-compatible localhost endpoint that lets your existing scripts point at Jan by changing one URL
- MCP tool support with an app-enforced approval popup, and the handlebars RCE patch that shipped in the same release

Jan download: https://jan.ai
Jan on GitHub (44,645 stars, 3,000 forks): https://github.com/janhq/jan
0.8.4 release notes: https://github.com/janhq/jan/releases

Chapters below. Companion configs, the model I recommend for a 16GB MacBook and the operator setup I use inside Jan sit in the pinned comment.

Chapters:
00:00 6.7M downloads: what people switched to
00:12 Jan: 57MB, free, offline
00:33 How Jan works: model on the laptop
01:15 Seats Jan retires: ChatGPT Team, Claude Team, Enterprise
01:55 The headline answer for business owners
02:18 Free Skool + pinned comment
02:48 GitHub numbers on Jan 0.8.4
03:10 Jan 0.8.4: keys moved to the OS keyring
03:47 Three things Jan does (local + hosted + localhost API)
04:16 The two-lane operator setup
04:44 MCP tool approval + handlebars RCE patch
05:14 Local model quality vs GPT-5, honestly
05:30 RAM to model-size guide: 16GB, 32GB, 64GB
05:58 3 cents an hour vs $30 a seat
06:15 Workflows I already moved off ChatGPT
06:38 What Jan does NOT replace
07:03 Verify it yourself: open jan.ai
07:26 Install it this afternoon

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=JGo4Wdti860

Qwen3 30B-A3B is a free open-weight model from Alibaba that runs on the MacBook already on your desk and covers the boring half of the work you currently pay ChatGPT Team or Claude Team for.
Playbooks + my answers, free - Church of SEO Jesus: https://www.skool.com/church-of-seo-jesus

What you get in the next 7 minutes:
- Which Qwen3 checkpoint to install (30B-A3B vs 8B) and the memory line where it breaks
- The routing rule: what stays on Claude / GPT-5 and what moves to the laptop starting Monday
- The real monthly saving on a solo seat, a 5-person team, and a 20-person shop
- The privacy angle your ops manager wants and won't say out loud
- The one setup mistake that eats an entire Saturday

Proof, not me telling you: open ollama.com and look at the one-line install on the front page.

Sources:
- Qwen on Hugging Face: https://huggingface.co/Qwen
- Ollama Qwen3 library: https://ollama.com/library/qwen3
- Ollama front page: https://ollama.com

Chapters below. Every command, model ID and routing rule I use is in the pinned comment.

#qwen3 #localai #ollama

Chapters:
00:00 Your $200 AI bill vs a free Qwen3 model
00:19 Nothing leaves the machine
00:29 What we cover in 7 minutes
00:49 What Qwen3 actually is (Alibaba, Hugging Face)
01:04 Qwen3 30B-A3B: the mixture-of-experts trick
01:19 The laptop you already own (32GB line)
01:35 Ollama setup: one install, one command
01:47 The seat math: solo, 5-person, 20-person
02:33 Verify it yourself on ollama.com
02:42 Local jobs: bulk drudge, running overnight
03:13 What stays on Claude and GPT-5
03:41 The privacy reason your ops manager wants this
04:16 The setup mistake: 30B on a 16GB machine
04:44 Old way vs new way
05:16 One month running on an M2 Max
05:38 Who this hurts (AI subscription bundles)
06:03 Who this helps (margin points back)
06:23 The annual saving at every team size
06:47 Where the full playbook lives
07:15 Cancel the sub tonight

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=h17zoCUeCTM

Ollama quietly grew vision, embeddings, tool calls, web search, OCR, structured output, and image generation - and killed seven paid tools sitting on your card statement right now.
Playbooks + my answers, free - Church of SEO Jesus: https://www.skool.com/church-of-seo-jesus

What you'll get from this video:
- The 7 exact paid line items a local Ollama install now replaces
- The specific models to pull for vision, OCR, embeddings, and structured output
- Why embeddings + a local vector store is the biggest bill most operators don't know they signed
- The hardware floor to run the full stack (and where an 8GB laptop taps out)
- What Ollama still does NOT beat Claude on, and why I still pay for one thing

Open ollama.com/library yourself. Look at the tags on qwen3-vl, gemma 4, and glm-ocr: vision, tools, thinking, embedding. That is the proof, not me telling you.

Sources:
- Ollama homepage: https://ollama.com
- Ollama model library: https://ollama.com/library
- Ollama blog (structured output, tool calling, web search, image gen, MLX, Anthropic API compat): https://ollama.com/blog

Chapters:
00:00 Still paying $200/mo?
00:14 Seven line items Ollama just replaced
00:27 What Ollama actually is (9M users, local, private)
00:48 #1 Vision: LLaVA, Llama 3.2 Vision, Qwen3-VL
01:25 #2 Web Search API (September 2025)
02:00 Subscribe + Church of SEO Jesus
02:25 #3 Image generation on macOS (January 2026)
03:00 #4 Tool calling with Llama 3.1 and streaming tools
03:35 #5 GLM-OCR (7.6M pulls, replaces Acrobat Pro)
04:10 #6 Structured output (JSON schema, kills GPT-4o-mini classifiers)
04:45 #7 Embeddings + local vector DB (kills OpenAI + Pinecone stack)
05:52 Verify it yourself on ollama.com/library
06:08 Hardware floor: 16GB minimum, 32GB comfortable
06:22 What Ollama still doesn't beat Claude on

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.

Watch the video: https://www.youtube.com/watch?v=z12jinhkwnM

GitHub Copilot canvases just handed every small software team the codebase memory that Cursor and Claude Code were charging a premium for, and the price is $19 a seat.
Playbooks + my answers, free - Church of SEO Jesus: https://www.skool.com/church-of-seo-jesus

What you get in six minutes:
- What GitHub actually shipped across four September posts (canvases, million-line PRs, the Rust runtime port, the Skills-vs-MCP podcast)
- The one dollar number that collapses a three-tool AI coding stack into one
- Why a junior with recall now equals a senior with amnesia (and what that does to your payroll)
- The exact ramp-cost math on every contractor and agency touching your repo
- Three moves any operator can make this week before the six-week window closes

Verification, do it yourself: open https://github.blog, hit Ctrl+F, type "canvases" and "million-line". Read the dates. That is the proof.

Sources:
- Canvases: https://github.blog
- Million-line pull request rendering: https://github.blog
- Migrating Copilot to Rust: https://github.blog
- GitHub Podcast (Skills vs MCP): https://github.blog

Chapters:
00:00 The Forgetting Tax
00:08 What GitHub Actually Shipped
00:17 The Context Tax Every Business Pays
00:52 Four Copilot Posts, One Story
01:08 Canvases (Burke Holland, Sep 24)
01:26 Million-Line Pull Requests (Alberto Gimeno, Sep 23)
01:37 800,000 Lines of Rust (Stephen Toub, Sep 16)
01:48 Did Skills Kill MCP (GitHub Podcast)
01:54 $19 Kills $40
02:01 Subscribe + Free Church
02:27 Copilot $19 vs Cursor $40 vs Claude Code $20
02:56 The Flattened Seniority Curve
03:28 Contractor Ramp Cost Math
04:13 Verification, Cursor's Math Problem, Claude Code's Spot
04:59 Why Microsoft Just Closed The Moat
05:51 The Six-Week Window
05:58 Three Moves For This Week
06:52 Tool-Audit Worksheet
06:59 What's Next: Cursor's Pricing Response

Audio edition of the Stewart Vickers AI YouTube video of the same name. Full transcript on this episode page.