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Today we're launching a whole new Arrows.
Every deal gets a gameplan.
Arrows gets it done.
Why? Because your best reps have a gameplan for their best deals... but it's all in their heads and is executed inconsistently.
Until now.
DZ retweeted
Most companies we talk to put themselves at ~2.5 on this spectrum.
Starting to add cruise control... if they're lucky, there's lane assist on a few workflows.
Agents alone don't get you to self-driving, but a promptless system like @ArrowsHQ does.
It feels nothing like what people have experienced so far (just like Waymo felt the first time).
This is correct. The vast majority of enterprise workflows have not actually had agents applied to them in any meaningful way. The economy probably has this deployed < 1% right now.
At best you have a few automated systems in a company that do a single pass of an LLM to make a decision or provide feedback, but very little real āautomationā. Some of this is a statement about the adoption rates of technology in enterprises, but the vast majority of it is really just due to the capability of AI itself.
Thatās all changing. Now with computer use, long running agents, harness improvements and surrounding infrastructure, weāre finally at a point where we can start to apply agents at more complex workflows.
We will see self-improving systems that can take any particular workflow goal and improve the execution rates over a volume of instances. And with the emerging form factor of agent swarms, you can just choose to deploy any amount of compute at a problem and agents will off and do the work.
This wonāt be about and users prompting agents to complete a specific task for them, but instead the organization reengineering the underlying workflows to take advantage of agents in their processes. This will have a massive impact in finance, life sciences, healthcare, and other information-heavy domains. Lots of opportunity to build and deploy these systems right now.
The funny thing about using rollercoasters as an analogy for startup life is⦠rollercoasters are the most fun on the way down
Most companies we talk to put themselves at ~2.5 on this spectrum.
Starting to add cruise control... if they're lucky, there's lane assist on a few workflows.
Agents alone don't get you to self-driving, but a promptless system like @ArrowsHQ does.
It feels nothing like what people have experienced so far (just like Waymo felt the first time).
This is correct. The vast majority of enterprise workflows have not actually had agents applied to them in any meaningful way. The economy probably has this deployed < 1% right now.
At best you have a few automated systems in a company that do a single pass of an LLM to make a decision or provide feedback, but very little real āautomationā. Some of this is a statement about the adoption rates of technology in enterprises, but the vast majority of it is really just due to the capability of AI itself.
Thatās all changing. Now with computer use, long running agents, harness improvements and surrounding infrastructure, weāre finally at a point where we can start to apply agents at more complex workflows.
We will see self-improving systems that can take any particular workflow goal and improve the execution rates over a volume of instances. And with the emerging form factor of agent swarms, you can just choose to deploy any amount of compute at a problem and agents will off and do the work.
This wonāt be about and users prompting agents to complete a specific task for them, but instead the organization reengineering the underlying workflows to take advantage of agents in their processes. This will have a massive impact in finance, life sciences, healthcare, and other information-heavy domains. Lots of opportunity to build and deploy these systems right now.
It's a bummer we don't do webinars at 5:45pm instead of 9am because my lighting is way more on brand
Call me old fashioned but I feel if you call something an e-bike, you should actually have to⦠you know⦠pedal it
My wife found a McDonaldās free hamburger achievement award from elementary school in 1996 with no expiration⦠weāre going to try to redeem it
DZ retweeted
Our team calls this Promptless AI.
Already live today for sales teams who use @ArrowsHQ⦠we built the entire product around the idea.
One of my more controversial bets: the AI feed will be the form factor of 2027!
Most people donāt know what to prompt, and they wonāt prompt their way into complicated agentic workflows. With chat, we ask users for digital labor: figure out what AI can do, explain the task, provide the context, repeat. Thatās a lot to ask if we want billions of people using agents every day.
Meanwhile, people already spend hours in feeds. Twitter, Instagram, LinkedIn. They know how to scroll, discover something useful, and act on it.
An intelligent system that knows you should bring you the next useful action. Hereās the email you need to answer, already drafted. Here are the latest sales numbers, with an update ready to send to your team. You approve, edit, dismiss, or jump into chat to go deeper. Thatās how people will discover what agents can do, without having to invent a prompt first.
And you can put ads in a feed, one of the biggest business models on the internet. A system that understands your plans can recommend a relevant restaurant, product, or service, clearly labeled as sponsored. You get a reason to come back every day, useful work ready to approve, and a business model to fund the agents doing it.
Our team calls this Promptless AI.
Already live today for sales teams who use @ArrowsHQ⦠we built the entire product around the idea.
One of my more controversial bets: the AI feed will be the form factor of 2027!
Most people donāt know what to prompt, and they wonāt prompt their way into complicated agentic workflows. With chat, we ask users for digital labor: figure out what AI can do, explain the task, provide the context, repeat. Thatās a lot to ask if we want billions of people using agents every day.
Meanwhile, people already spend hours in feeds. Twitter, Instagram, LinkedIn. They know how to scroll, discover something useful, and act on it.
An intelligent system that knows you should bring you the next useful action. Hereās the email you need to answer, already drafted. Here are the latest sales numbers, with an update ready to send to your team. You approve, edit, dismiss, or jump into chat to go deeper. Thatās how people will discover what agents can do, without having to invent a prompt first.
And you can put ads in a feed, one of the biggest business models on the internet. A system that understands your plans can recommend a relevant restaurant, product, or service, clearly labeled as sponsored. You get a reason to come back every day, useful work ready to approve, and a business model to fund the agents doing it.
Hosted a webinar.
Booked a lot of pipeline.
Talked to @ronniehiggins (heās awesome, hire him).
Saw some insane demos on our show & tell.
Talked to @MaxDiCapua (also awesome, so excited for their products).
Dove in the ocean at sunset.
Had some vesper martinis.
Good day.
Khruangbin has really cornered the market on soft background vibe music in semi-hip spots havenāt they
Snapped this while on the phone with a friend this morning two blocks from home.
Neee to shoot a video here











