AI + Data + Creativity = Magic 🪄 Currently: Building @wellphoriaAI | Past: CTO @drinkmudwtr + CEO @storenvy + EIR @500Startups. Raised VC. Exited.
Kansas City, MO
Joined January 2007
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Jonathan Crawford 👾 retweeted
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:
1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales
Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.
A healthy team needs a mix of these, depending on the product:
- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2
Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
2. I have a few Codex prompts that make all this a breeze:
/dhh-linear-coder
- Sends the DHH bit
- Pulls a Linear issue based worktree name
- Reads the project
- Thinks about a plan
- Calls Gemini 2.5 Pro & Opus for feedback on its plan
- Saves plan in a md file named for issue
When I was a kid, I thought this was about the life story of Yankee Doodle #fourthofjuly2025
Who are the founders & #AI enthusiasts working on health & wellness products??
#wellnessAI #healthAI #digitalhealth
OpenAI learned nothing from the Pepsi Challenge and Cola Wars of the 1980s
Poorly-contextualized marketing data & product feedback can lead you to make the wrong decision.
People prefer a taste of something sweeter in small amounts, but will always end up buying the real thing.
We’ve rolled back last week's GPT-4o update in ChatGPT because it was overly flattering and agreeable. You now have access to an earlier version with more balanced behavior.
More on what happened, why it matters, and how we’re addressing sycophancy: openai.com/index/sycophancy-…
So OpenAI learned nothing from the Pepsi Challenge and Cola Wars of the 1980s?
People prefer a taste of something sweeter in small amounts, but will always end buying the real thing.
We’ve rolled back last week's GPT-4o update in ChatGPT because it was overly flattering and agreeable. You now have access to an earlier version with more balanced behavior.
More on what happened, why it matters, and how we’re addressing sycophancy: openai.com/index/sycophancy-…
Sure, #AI is cool, but have you ever yawned and unlocked premium surround sound hearing?
I’ve been using @cursor_ai’s coding agent really heavily for about a month. It’s not perfect, but it’s directionally mind-blowing. But you have to do it a certain way or it takes more time than it saves. What’s working for you?
#AIAgents #Coding #Cursor
