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Every launched All Access, a $625/year membership that generated about $9,000 in…

Brief

Brandon Gell and Every's builders show concrete AI workflows and business results: launching All Access ($625/yr) drove about $9,000 in MRR in two days and produced Every's biggest one-day MRR gain last week. Austin runs Codex + Claude/Descript MCP to produce videos 70% complete; Yash uses Cursor agents to A/B models; Brandon warns cost (tools up to $30K/month) blocks builders, so Builder Pack aims to lower that barrier.

Why it matters

Every launched All Access, a $625/year membership that generated about $9,000 in MRR within two days and produced Every's biggest one-day MRR gain last week.

Key details

  • Austin Tedesco runs two agents in parallel—steering Codex on one task while Claude plus Descript's MCP runs a separate loop to build storyboards, write scripts, and assemble cuts, getting videos ~70% finished before review; Yash Poojary uses Cursor cloud agents to run models side-by-side and only switches models after testing.
  • COO Brandon Gell argues cost, not skill, is the main barrier to building (citing tools that can cost engineers ~$30K/month), which motivated the Builder Pack; the episode also highlights an agent that turned an idea into $25K and a team-wide comfort with automating repetitive tasks.
Source evidence

If you're a builder that uses AI, this might be the single best value product you can buy on the internet.

Dan Shipper 📧 (@danshipper)

Last week we had the biggest one-day MRR gain in Every's history. It came from launching All Access—a 625-dollar-a-year membership that added about 9,000 dollars in MRR for @every in two days.

On this week's AI&I, I handed the mic to our COO Brandon Gell, who sat down with three of @every's own builders—growth engineer Yash Poojary, head of growth Austin Tedesco, and head of marketing Douglas Brundage—to talk about the tools they use most, how they build with them, and their tips for new builders on getting started.

They also got into:
- How Austin runs two agents at once. While steering Codex on one task, Austin—who calls himself "actually really bad" at video editing—has Claude running in a separate loop with Descript's MCP, building storyboards, writing scripts, and assembling cuts. By the time he sits down to review, it's gotten him 70% of the way to a finished video.
- Why Yash treats new AI models like flavors he’s testing. He uses Cursor's cloud agents to run multiple models side by side and figure out which one he prefers, rather than switching to whatever's newest. "I'm so picky about my models that even if a new model drops, I don't change to that," he says, unless testing proves it's better.
- Why Brandon thinks the real barrier to building isn't always skill, it's cost. He tells the story of a friend's younger brother, a trained engineer who can't land a job and can't afford to experiment with AI tools that cost other engineers $30K a month. That gap is the whole reason the Builder Pack exists.
- Why the team feels safe automating their own jobs. Yash says everyone at Every is secure enough in their skills that automating the repetitive parts of their work doesn't feel threatening, it just clears space for the parts they're good at and enjoy doing.

If you want to get started with building, or simply get more ideas on how to work with AI, this episode is for you.

Watch on X or YouTube, or listen on Spotify or Apple Podcasts.

Timestamps:
0:00 Intro
0:35 All Access Explained
3:01 Yash's Tech Stack and How He's Automating Testing Pipelines
8:02 The Idea to Execution Loop
10:25 How an Agent Turned an Idea into $25K
17:50 The AI Sandwich Workflow
22:03 Making AI Tools Accessible to Solo Builders
28:50 Douglas on Brand and Design
34:51 Tips on What to Build First
43:46 What's Next for All Access

Video

— https://nitter.net/danshipper/status/2079954927451799950#m