Greg Isenberg

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marke

Greg Isenberg(@gregisenberg) · 8.5 分

营销工程师通过构建AI代理自动化营销流程，可能成为高收入职业，但需依赖具体工具和策略。

Send this to ANYONE on your team using AI agents with Claude/Codex skills: If I were you, I'd put your BEST AI skills in a GitHub repo, turn that repo into a PLUGIN, and have your team INSTALL it in Claude/Codex with auto update on. Why? 1. Everyone gets the same AI SOPs instead of 10 versions floating around Slack 2. When one person improves a skill, the whole team gets the better version. 3. New hires can start with your best workflows instead of a blank AI setup (this is a BIG deal). 4. If someon

Greg Isenberg(@gregisenberg) · 8.5 分

将AI技能作为版本控制的公司资产，通过GitHub插件统一团队使用，提升协作效率与流程一致性。

I think the most interesting thing about Jack Dorsey's "Slack killer" is the idea around shared compute. I haven't seen people talk about it so here are my thoughts FWIW: Open models got good, close enough to the paid frontier stuff to run for real. But the strongest ones need expensive hardware most people probably won't buy alone, and it's kinda a pain to set up if you aren't technical. Shared compute solves exactly that. In Buzz, one person runs the machine, loads up an open model like Google Gemma, a

Greg Isenberg(@gregisenberg) · 8.5 分

共享计算模式通过社区共同拥有和控制AI模型，解决了高昂硬件成本和数据隐私问题，形成新的竞争优势。