How I AI

→ WHAT IT COVERS Claude Fable 5, Anthropic's first publicly available Mythos-class model, receives a hands-on evaluation covering benchmark performance, real-world coding and design tasks, pricing at $10 per input and $50 per output tokens, and practical use-case recommendations. → KEY INSIGHTS - **Model tiering strategy:** Match model intelligence to task complexity rather than defaulting to the most powerful option.

→ WHAT IT COVERS Nicole Ruiz demonstrates how she uses a Claude project to purchase only high-quality, long-lasting goods for her family, filtering out drop-shipped knockoffs and trendy direct-to-consumer brands, while automating the returns process through Claude CoWork connected to Gmail, reducing household administrative overhead for busy parents.

→ WHAT IT COVERS Host Claire documents a live experiment using Google Flow and the Gemini Omni video model to build a one-minute AI avatar hype video for her podcast. Starting with zero tool knowledge, she completes the full workflow — avatar creation, storyboard generation, video rendering, and timeline editing — in under fifteen minutes. → KEY INSIGHTS - **Avatar capture speed:** Google Flow's mobile QR code scanning process captures a usable facial avatar in under two minutes, requiring only...

→ WHAT IT COVERS Bryce Rattner Keithley, a non-technical talent professional, built and shipped a fitness app called Daily Hundreds to the Apple App Store using Replit, Claude, Claude Code, Gemini, and Higgs Field — with no software engineering background — demonstrating that AI tools now enable complete beginners to build production-ready consumer applications. → KEY INSIGHTS - **Beginner's Mindset as Advantage:** Not knowing technical boundaries prevents self-limiting behavior.

→ WHAT IT COVERS Claire Vo shares early hands-on testing of Anthropic's Claude Opus 4.8, a coding-focused agent model priced at $5/$25 per million tokens, evaluating its performance across greenfield coding, existing codebases, and business strategy tasks. → KEY INSIGHTS - **Greenfield vs. existing code:** Opus 4.8 performs well on one-shot, net-new feature builds — it planned and autonomously coded a full prototyping tool in roughly 20 minutes — but degrades significantly when navigating...

→ WHAT IT COVERS Claire Vaux walks through Codex's /goal feature, which enables AI to run autonomously for hours without human prompting. She covers the six-part goal-writing framework, demonstrates three real use cases — error elimination, inbox cleanup, and task management — and explains when goal-based loops outperform standard turn-based prompting. → KEY INSIGHTS - **Goal vs. Prompt Structure:** Standard prompting is turn-based — the AI completes one step and waits.

→ WHAT IT COVERS Felix Rieseberg, engineering lead for Claude CoWork, Claude Code, and Claude desktop apps at Anthropic, demonstrates practical Claude workflows including a $19 hardware approval button, live artifact dashboards, and using email as personal inventory data — showing how abstraction layers unlock Claude's real productivity potential. → KEY INSIGHTS - **Abstraction layering:** When using Claude, repeatedly ask "how can Claude handle this instead of me?" at each step.

→ WHAT IT COVERS Claire Vaux recaps Google I/O 2026 Day 1 live, testing newly launched products across five categories: the Gemini 3.5 model family, Antigravity agentic coding IDE and CLI, Google AI Studio workspace integration, Gemini Omni video generation, and design tools Stitch and Pommeli. → KEY INSIGHTS - **Gemini 3.5 Flash speed advantage:** Gemini 3.5 Flash delivers benchmark performance comparable to Claude Opus 4.7 and GPT-4.6 while running four times faster than those models.

→ WHAT IT COVERS Thariq Shihipar, an Anthropic engineer on the Claude Code team, demonstrates how replacing markdown with HTML files transforms the planning and specification process — producing richer, more readable artifacts that keep builders engaged with agent outputs and ultimately improve the quality of what gets built. → KEY INSIGHTS - **HTML over Markdown for specs:** When Claude generates plans as HTML files instead of markdown, builders actually read them.

→ WHAT IT COVERS Ryan Nystrom, engineering manager at Notion, demonstrates three AI-powered workflows: an automated daily standup agent that pulls from Slack, GitHub, and Honeycomb telemetry; background coding agents triggered by task mentions; and spec-driven development where markdown specifications serve as the source of truth for autonomous code generation.

→ WHAT IT COVERS Anthropic's Code with Claude developer event introduced five updates to Claude Code and the Claude API: scheduled routines, outcome-based agent iteration, multi-agent orchestration up to 25 agents, session memory consolidation called Dreams, and doubled usage limits. → KEY INSIGHTS - **Scheduled Routines:** Claude Code now supports three trigger types—cron schedules, HTTP webhooks, and GitHub webhooks—allowing automated tasks to run locally or in the cloud without manual...

→ WHAT IT COVERS Sendbird CEO John Kim demonstrates how his company built an internal AI adoption platform featuring a quest-based automation marketplace, a skills library, a five-tier token consumption leaderboard, and pre-vetted app templates — transforming non-engineers into autonomous builders without touching the core product roadmap. → KEY INSIGHTS - **Quest Marketplace:** Build an internal platform where any employee can post an automation request as a "quest," and any colleague —...

→ WHAT IT COVERS Owen Williams, design manager at Stripe, built ProtoDash — an internal AI prototyping tool that connects Stripe's design system (Sail) via MCP server to generate realistic, on-brand dashboards in a browser. The tool has shifted design reviews from static Figma JPEGs to clickable, data-rich prototypes used by both designers and PMs. → KEY INSIGHTS - **Design system MCP integration:** Connect your internal design system to an MCP server and bundle cursor rules that instruct the...

→ WHAT IT COVERS Jason Levin, founder of Memelord, details how he scaled a $6.90/month meme newsletter into a $3M ARR API business without writing code — building first on Bubble with 395 workflows, then transitioning to Cursor, while mandating that every marketer on his team ships code via vibe coding. → KEY INSIGHTS - **No-code to API scaling:** Memelord reached $100K ARR entirely on Bubble before hiring a single engineer, using 395 no-code workflows.

→ WHAT IT COVERS Claire Vaux reviews GPT-5.5 and GPT-5.5 Pro after two weeks of early access testing, focusing on Codex-based autonomous coding tasks. She demonstrates three real-world use cases: security remediation, a 2-million-row data migration, and reverse-engineering a proprietary Bluetooth device — comparing results against Claude and GPT-5.4. → KEY INSIGHTS - **GPT-5.5 Pricing vs. ROI:** GPT-5.

→ WHAT IT COVERS Host Clervoe evaluates Claude Design, Anthropic's new web-based design tool, testing its design system import feature, marketing landing page generation, and slide deck creation, while also assessing OpenAI's GPT Image 2 model for brand kit generation and layout work across a 27-minute hands-on demo. → KEY INSIGHTS - **Claude Design best use case:** Claude Design performs strongest on marketing landing pages and slide decks rather than complex UX/app components.

→ WHAT IT COVERS Brian Scanlan, Senior Principal Engineer at Intercom, details how the company doubled engineering throughput (measured in merged PRs per R&D head) over nine months using Claude Code. He demonstrates the internal skills repository, telemetry infrastructure, session analysis tooling, and cultural frameworks that enabled a 150+ person R&D organization to ship at 2x velocity while maintaining or improving code quality.

→ WHAT IT COVERS JJ Englert from Tenex demonstrates how non-technical professionals can use Claude Cowork to build a personal daily operating system — connecting Gmail, Slack, and Calendar through one-click integrations, creating reusable skills, and orchestrating multiple AI agents simultaneously without writing a single line of code. → KEY INSIGHTS - **Project Architecture:** Create a dedicated folder on your computer, attach it to a Claude Cowork project, and add a "brain" file — a detailed...

→ WHAT IT COVERS Al Chen, field engineer at Galileo, demonstrates how non-engineers can clone all 15 of a company's repositories into VS Code, then use Claude Code to answer nuanced enterprise customer deployment questions that public documentation cannot address, while building customer-specific context libraries in Confluence to personalize technical responses.

→ WHAT IT COVERS Entrepreneur and new mom Hilary Gridley demonstrates how she uses Claude Code via terminal to manage her daily schedule, to-do list, and personal workflows — building an adaptive, low-setup "anti-system system" that learns from observed behavior rather than pre-configured rules or complex integrations. → KEY INSIGHTS - **Automation Decision Framework:** For any task, ask whether being 10x better at it would produce 10x the impact. If no, automate it entirely.