Normal people do not want to build AI Agents. If I have learned one thing running an AI startup that’s sold and delivered millions in contracts, it’s this. No one cares. No one cares to learn a new mental model. They just want to talk to a thing and get results. They don’t care about agents, skills, connectors or any of the other neologisms we in tech fetishize. They just want the thing to work so they can do something else with their lives. The mistake I see so many companies—and competitors—making is rushing into an ill thought through human computer interaction paradigm where one human manages teams of purpose built agents. I hate that future and we are actively building the opposite at AgentPress. Our ideal is the agents and the neologisms and the gizmos fade into the background and our customers experience AI as a singular ongoing conversation with a chief of staff who also happens to be a mentor, a friend, and a genius. I have always believed the true promise of generative AI is that it radically elevates the quality of our relationships with machines, lowering friction and increasing understanding. I see very few SaaS companies who seem to understand any of this. It is not enough to put a chatbot in your app. If you are not converting your entire company to selling a conversation between your superhuman AI and your customer, you don’t get it. — If this resonates with you and you’re on a sales team of 3-10 people and you’re drowning in follow ups, emails, and CRM updates, we are taking on selected design partners for our AI Chief of Staff for Account Executives.

Never in my life have I been organized enough to regularly send out pre-sales-meeting emails, but AgentPress makes it so easy. It knows about my deals and proactively delivers high quality output I can just hit approve on straight from Slack. Massive execution game upgrade.

Developers are no longer valued for their ability to write code. They are valued for their ability to direct AI to write code. The same pattern will happen across all knowledge work jobs, including sales. Sales people will not be valued for their ability to persuade. They will be valued for their ability to direct AI to persuade. The business cases, meeting prep, follow up velocity, discovery acumen — all of it will be augmented by AI and the best sales people will be fluent in harnessing it. That does not mean we do not need sales people or that an AI avatar is going to close a $1m enterprise contract autonomously tomorrow. But it does mean the race is on for who can create the most usable, simple, coherent, and powerful agentic revenue OS. That’s what we’re building towards.

I fundamentally disagree with the idea that if you don’t have an exhaustive mental model of your codebase, you’re doing a bad job. As a CEO what I am much more interested in from my engineering team is: What harnesses and tests have you put in place to ensure that even if you don’t know the details, it will perform well in production? That’s the bar. You absolutely need *a* mental model of your codebase, but I do not think you need to understand *every* detail. This is just the evolution of software development: from hex to assembly to C++ to English, we have always hidden increasing amounts of detail behind layers of abstraction. And while it may be technically praiseworthy to understand everything from binary up at a deep level, it is by no means the most efficient path to working software.

what’s everyone using for LinkedIn outbound automation? we’re building integrations for HeyReach and Aimfox so our agent can reply and carry the conversation through booking a meeting. curious if there’s other platforms we should support natively.

i’m sorry but i just don’t believe most AE’s or even sales enablement folks want to build a grok bot. they want a bot that works out of the box for their use case, already tuned and fully customizable by chatting with it.

henry ford’s customers were right after all; what they needed was a faster horse

me after fable usage just reset at 10pm CT on a sunday

oh yeah? well we hacked THREE companies, put that in your fear mongering pipe and smoke it

The doomers were wrong, as anyone outside the fear bubble with a cursory knowledge of history could see. Technology does not instantly diffuse through an economy. And every technological revolution reveals value in human abilities we previously took for granted. In the age of AI, those are judgment, taste, accountability, and — yes — agency.

i cannot begin to describe how annoyed i am that i am rooting for anthropic right now

there continues to be a shocking amount of alpha in simply rebuilding workflows to be ai native the best startups can’t help but reinvent their market because they just get annoyed at having to do things the old way then imagine how few teams are doing this at any given time: incumbents are handcuffed to their business model and even in supposedly large markets there are only a handful of teams with the funding and workflow knowledge so you end up with a situation where if you can cobble together a little funding a half decent vision and a little distribution magic, you have a serious shot at winning

well they won. for now anyway. the bay area rationalist yudkowskiites sowed enough fear and uncertainty into the discourse they created the dystopian hell we now inhabit in which Trump has to personally approve every model release from here on out. truly idiotic

Hiring a full stack engineer! Apply if you love building, love AI, and are up for the startup ride 📈🚀 agent.press/careers/full-sta…

GPT 5.6 better be good

Anyone else getting token guilt? That feeling when you apply groundbreaking superintelligence to *checks notes* PDF formatting instead of like blueprints for a dyson sphere