The Technology Agency.

Today’s tech world of AI, autonomous agents, subscriptions, cloud vendors and disintermediation needs our new client model.

[The Technology Agency. @agentsfortech]

“You get results when your commitment is greater than what you feel.” ~ Pat Summit

[The Technology Agency. @agentsfortech]

@twistartups @Jason just ask any high-performance tech sales person if they’ve ever had a similar experience with a customer and you will find rapid agreement and numerous anecdotes! That’s why selling and getting customers to agree is such a bear! The difference? We go back and SELL!

[The Technology Agency. @agentsfortech]

@LeContempIateur Money happened

[The Technology Agency. @agentsfortech]

@spencerpratt Just don’t look back you might turn into a pillar of salt!

[Aaron Levie @levie]

Again, maybe counterintuitive, but in the majority of conversations I have with CIOs, CTOs, and CEOs in large enterprises, they are either growing due to AI (in new job functions like FDEs, engineering, etc.) or at a minimum reinvesting efficiency savings back into the business in new areas (sales, marketing, etc.).

David Solomon, CEO of Goldman Sachs, articulated this perfectly in a NYTimes OpEd last week. The AI boom is both creating all new jobs in the build out of AI systems and the implementation across sectors, but also freeing up dollars to invest in areas that have been underfunded or have more demand now because of AI.

Most businesses have been constrained by how much software they can produce at a given cost, how many sales reps they can hire, how many marketing campaigns they can run, how they can do outbound customer success motions with enough tailoring, how they can find more risk in their business and prevent it, and 100s of other things.

When AI makes it possible to do more of this, investment goes back into the business. The companies that better serve their customers win over the long run, and those that just try and find savings end up doing worse.

[The Technology Agency. @agentsfortech]

@SullyCNBC Molto edgy, even today. Italians have a knack!

[The Technology Agency. @agentsfortech]

@cultural_ist @thinkingwest A barf bag will be included with each book.

[The Technology Agency. @agentsfortech]

@horse_archers @thinkingwest The spirit, revealing the moment and being neither time nor place, is neither linear nor cyclical.

[@jason @Jason]

Honestly, fuck almonds

[Lenny Rachitsky @lennysan]

Engineers don't write code.

PMs are shipping to production.

The design process is dead (there's no time).

Marketing can ship their own campaigns.

SDRs are being replaced by AI.

Everyone's a data scientist now.

What a time to be alive.

[Aaron Levie @levie]

We’re in a period where everything feels like it’s getting jumbled up across roles because AI lets you explore the adjacencies of other functions more easily.

We all collectively have to figure out the new form of definition of what these jobs look like in a world of agents, and certainly many will look different from what they did before. But there are some immutable laws that will eventually re-emerge over time and become clear again.

As an example, when you’re scaling, product managers should be spending an insane amount of time with customers and getting feedback on the product and thinking through what to do build next, how to design it so it’s usable, and so on. Engineers should be understanding the business objectives, and building systems that scale and are secure, even as feature velocity increases by 10X. Now both can do a bit more of the others role, and this can temporarily get conflated as doing the whole thing, but eventually the work adds up to be enough that it makes sense to specialize again.

Similarly, in GTM, the product marketer can certainly generate a working design and video for a launch, but the specialist is always going to (or should) have an eye for quality that delivers a better outcome.

My bet is that AI enhances specialization even further, even if a few roles collapse into each other, and the future toolchain and craft of the specialist will be much higher leverage and output far greater than anyone else as a hobbyist in that function.

[Aaron Levie @levie]

Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts.

Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system).

With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly.

Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process.

Massive role in tech now. And another example of the kind of highly technical work that AI is creating.

[The Babylon Bee @TheBabylonBee]

Dems Accuse Spencer Pratt Of Not Wanting To Destroy California https://t.co/qkaKjxgSdA

[Big Brain AI @realBigBrainAI]

Stripe co-founder John Collison on the two types of people who will thrive in the AI era over the next 10 to 20 years:

He identifies two categories of people he's "super bullish on":

First: high-agency people.

"We know this at Stripe. The people who are like, I've been talking to customers. I know exactly what we should do. We got to go fix this. But the people who have that pep in their step and they want to go make Stripe better."

The idea is simple.

The people who don't wait around for permission, who figure out what needs doing and go do it, now have leverage they've never had before.

AI lets them execute faster without needing to assemble a huge team behind them.

Second: double majors.

"I think if you understand software and understand finance or if you understand software and understand marketing, you now can go massively improve the entire marketing funnel for your company and one person can do."

@collision connects this to a famous Paul Graham observation:

"Typically an entrepreneurship team a founding team has a collection of like five or six skills between two founders three founders."

He also points to Charlie Munger's case for multidisciplinary thinking, noting it's easier than ever to pick up a functional grasp of new fields:

"He thinks getting a functional understanding of many disciplines is not that hard you can just go read the books now you know you can talk to your AI about it and so I think multidisciplinary thinkers are going to do incredibly well."

The throughline is the same for both: AI closes the gap between knowing what to do and being able to do it.

One person can now move at the pace of a full team, and combine skills that used to require entire departments.

[The Technology Agency. @agentsfortech]

Hey @Tony_BATtista wanna give the audience a quick lesson as to (as Dr.Jim says)”why we do the things we do”

[The Technology Agency. @agentsfortech]

Words to succeed by: “Probably works in dev. Probably breaks in prod.”

[Nick Durkin @BigGuyBigData]

Stop building scaffolding.

Your Al agents, apps, data pipelines, and infra deserve a real platform, not duct tape and hope.

Probably works in dev. Probably breaks in prod.

Harness doesn't guess, we ship.

[The Technology Agency. @agentsfortech]

@GazzettaFerrari Too many rules. Not enough racing. Cool thing about technology? You can measure stuff you never thought you could measure before. Problem? It becomes just another thing to regulate.

[The Technology Agency. @agentsfortech]

@MV33Racing @Shay99087 Nah! Leclerc joining the battle quite nicely, thank you!

[The Technology Agency. @agentsfortech]

@TheBishF1 Let’s look at the results, and not just at the checkered flag. It’s some terrific racing. There’s a new era. Technology is bringing us a new way of looking at things of winning, and these people are showing us the way to master it.

[The Technology Agency. @agentsfortech]

#Daytona500 @NASCAR ONFOX @FOXSports
What a MISERABLE viewing experience. Jammed up with ads. Tough to follow the race. Too bad because it’s an interesting race with a ton of action.