The proactive AI assistant built for high-velocity teams.
Joined May 2024
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@tryhighlight , jobs.ashbyhq.com/highlightai, downtown San Francisco!
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AI to augment, not to replace.
“I actually don’t think AI should be writing your PRDs.”
That and a few other strong opinions from our Head of Engineering @parrissays on Terminal Value: youtube.com/watch?v=qFs__YNY… 👀🎙️
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Companies are starting to build an invisible AI layer. One person has figured out how to get great research from Claude. Someone else has a setup for writing. Another knows exactly what context makes ChatGPT useful for sales. The company gets the outputs. Very little of what made them good becomes shared.
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My take... Models and harnesses are not nearly enough for mass adoption. There are two major blockers to appeal to the general population.
First is re; models + harnesses = not enough. Models are today essentially just knowledge stores. Becoming increasingly better + faster about accessing that knowledge is not enough. Knowledge =/= wisdom. Models + harnesses are not enough to develop wisdom. To do that, you need context (who/what/where/why/when) + memory (understanding of how the context evolved)
It doesn't matter how many things the models know how to do, or how many things they can do because of harnesses. What matters is what it *chooses* to do and *why*. The only way to do this is to transfer your wisdom; distill your thinking into signals that trigger the right thinking.
The reason why this matters: Trust
This is why to even leverage models/harnesses, we need an encyclopedia of skills + rules etc. We are trying to encode our wisdom into the loop to trust it will produce quality work. The effort that this takes is just completely unreasonable for anyone besides early adopters and builders.
Second blocker to mass adoption is: politics. I don't (only) mean government. I mean social politics. If you even remotely like AI, there are entire groups of people that will demonize and ostracize you because they often literally think AI is the antichrist.
There are unfortunately too many faces of AI companies who very recklessly talk about economic/job impact and security impact of AI, which only creates fear and distrust.
This is why I believe that any product that is going to succeed here is going to be model agnostic. If you are locked into a single model provider as a company, or as a person, you are risking many things between availability and reputation by association.
It will take a neutral party building AI products that earn your trust, and are never restricted by another company's optics or reliability.
Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok.
These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet.
Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule.
Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there.
Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash).
Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027.
Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.
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More of our time is shifting to defining what a great outcome looks like. This is where you work together as a team and iterate. Models do the work and deliver on this outcome.
You don't need graphs or loops to move faster, if you know where you're going.
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The next version of @tryhighlight will be a proactive team assistant with shared memory across all your tools. We need a Sr Product Designer in SF. 🧑🎨
If you like:
-High-velocity (idea → prototype in hours)
-Obsessive polish (pixels, transitions)
-AI-native UX beyond the chat box
👉 Join us!
jobs.ashbyhq.com/highlightai…
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Enterprise AI strategy is backwards.
Most people are focusing on Chief AI Officers and pilot programs, when the real value is in the unglamorous work where organizations bleed time.
More thoughts:
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New chapter: I’ve joined @tryhighlight as Head of Design. 🙌
We’re building an AI layer that connects everything happening across your digital workspace – breaking the silos that keep knowledge trapped.
Can’t wait to design what that future feels like.
👉highlightai.com
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Thrilled to back @gen_intuition, a frontier research lab using game data to teach agents spatial and temporal reasoning — from virtual worlds to the real one.
Bold. Early. Impactful.
More below 👇
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Introducing General Intuition and our $133.7M Seed from Khosla Ventures, General Catalyst, and Raine. We build foundation models and general agents for environments that require deep spatial and temporal reasoning.
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Quickly search across chats and meeting notes
- cmdk as the backbone
- fast animations for keyboard navigation
- gray out previous results while loading to prevent layout shifting
@tryhighlight