Eric Evans

tech, startups, ai

[signüll @signulll]

i always operate under the assumption that things are easy until proven otherwise.

mostly cuz the people loudly insisting things are hard are usually selling difficulty (consultants, gatekeepers, or incumbents who benefit from the moat narrative).

also starting from easy means you actually attempt things. the cost of a false easy is often an afternoon now esp with ai whereas the cost of a false hard you never try at all. e.g. this is how i got into woodworking & hard edge painting, among many other things.

[Aaron Levie @levie]

The more enterprises I talk to about AI agent transformation, the more it’s clear that there is going to be a new type of role in most enterprises going forward. The job is to be the agent deployer and manager in teams. Here’s the rough JD:

This person will need to figure out what are the highest leverage set of workflows on a team are (either existing or new ones) where agents can actually drive significantly more value for the team and company.

In general, it’s going to be in areas where if you threw compute (in the form of agents) at a task you could either execute it 100X faster or do it 100X more times than before. Examples would be processing orders of magnitude more leads to hand them off to reps with extra customer signal, automating a contracting review and intake process, streamlining a client onboarding process to reduce as many straps as possible, setting up knowledge bases than the whole company taps into, and so on.

This person’s job is to figure out what the future state workflow needs to look like to drive this new form of automation, and how to connect up the various existing or new systems in such a way that this can be fulfilled. The gnarly part of the work is mapping structured and unstructured data flows, figuring out the ideal workflow, getting the agent the context it needs to do the work properly, figuring out where the human interfaces with the agent and at what steps, manages evals and reviews after any major model or data change, and runs and manages the agents on an ongoing basis tracking KPIs, and so on.

The person must be good at mapping the process and understanding where the value could be unlocked and be relatively technical, and has full autonomy to connect up business systems and drive automation. This means they’re comfortable with skills, MCP, CLIs, and so on, and the company believes it’s safe for them to do so. But also great operationally and at business.

It may be an existing person repositioned, or a totally net new person in the company. There will likely need to be one or more of these people on every team, so it’s not a centralized role per se. It may rile up into IT or an AI team, or live in the function and just have checkpoints with a central function.

This would also be a fantastic job for next gen hires who are leaning into AI, and are technical, to be able to go into. And for anyone concerned about engineers in the future, this will be an obvious area for these skills as well.

[Mustafa Suleyman @mustafasuleyman]

For the next couple years at least, the entire AI industry is going to be defined by this fact: demand is going to wildly outstrip supply, and so what matters is which companies / products have margin to pay for tokens.

Those products will then rapidly improve because latency drives retention, and retention creates data to spin flywheels that improve the product and drive more adoption.

[Paul Copplestone - e/postgres @kiwicopple]

visits to the @supabase troubleshooting guides last week:

Humans = 10,370
Bots = 28,720

[signüll @signulll]

critiquing b2b or enterprise products is mostly pointless because, as jobs pointed out, the ppl who have to use them aren’t the ones deciding. it’s some exec dealmaker looking at variables that have nothing to do with usability. the best user experiences often never win in enterprise or b2b.

consumer is 100x more interesting for this reason alone.

[signüll @signulll]

this is one of those rare, disorienting, electric moments in history where if you’re a builder, a designer, a founder, an investor, or just a thinking human, everything is in flux which is exciting af.

core systems are being torn down & rebuilt. the scaffolding of society is being rewired in real time.

what an insane time to be alive.

[Eric Evans @ericevans]

@ryolu_ @ryolu_ Here's what I'm cooking up, adding some glow to my day...

[Eric Evans @ericevans]

@RayFernando1337 Is this via projects?

[Eric Evans @ericevans]

@SpaceX That's one of the most incredible things I have ever seen, amazing @SpaceX

[SpaceX @SpaceX]

Mechazilla has caught the Super Heavy booster!

[Eric Evans @ericevans]

@mckaywrigley @lexfridman This is totally the right way to go, imagine the number of people seeing this is within their grasp... awsome

[Eric Evans @ericevans]

@cursor_ai in composer, can you add an interaction or version number to the chat so you can ask to revert to that version. Would make UX for iterating on a feature way better IMO.

[Paul Graham @paulg]

I screenshotted this because it will seem so funny a couple years from now. Though to be fair it seems pretty funny already.

[Shreyas Doshi @shreyas]

A really important concept to understand in work & life: the Antithesis Principle.

It is best explained through some examples, so that’s where I will start this thread.

(1/18)

[Eric Evans @ericevans]

@boringmarketer Let's go

[Eric Evans @ericevans]

@boringmarketer Sounds interesting

[Paul Graham @paulg]

Oklahoma plans to kill Richard Glossip on May 18. The state's own attorney general has said that this would be a "grave injustice," but other people in Oklahoma are determined to go ahead and kill him. Sound crazy? Keep reading; it gets crazier.

[Eric Evans @ericevans]

@ShaanVP @CleanShot without question

[Elon Musk @elonmusk]

Starship fully loaded with cryogenic propellant

[Matt Slotnick @matt_slotnick]

if i was an investor and could only invest in a single thesis for the rest of my career, this would be that thesis