Ryan Samii

I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time. Which is a great response to the doomers. AI doesn’t know the consequences of its output. Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable. Which makes domain knowledge more valuable by the second. Am I wrong ?

Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today. The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do. First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents. Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do. Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes. Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design. All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it. This is a huge opportunity right now whether you’re doing this internally or as an external business provider.

.@Collision is bullish on two types of people: high-agency individuals and double majors. "There are two categories of people I would be super bullish on right now and I think will do incredibly well over the next 10-20 years. First, high-agency people. The people at Stripe who have been talking to customers and know exactly what we should do. It's the people who have that pep in their step and want to go make Stripe better. They are so much more empowered thanks to AI." "The second is 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. Now, one person can do what would have taken 20 people dredging through all these systems." "Charlie Munger talked about the importance of being multidisciplinary and multidisciplinary thinking. He thinks getting a functional understanding of many disciplines is not that hard. You can just go read the books now or you can talk to your AI about it. I think multidisciplinary thinkers are going to do incredibly well."

Facts, ~Vibes, and the Pursuit of Truth. there's still much work ahead.

LeBron at 19 LeBron at 41 🤝

Every system that was regulated, either explicitly or implicitly, by the fact that they were effortful for humans (letters of recommendation, lawsuits, government filings, essays) will break.

fun time to be a deal lawyer. these transactions are becoming more and more creative, particularly for this scale!

How to prepare your kids for AI "What Will Be Scarce?" open.substack.com/pub/aleximas/p…

this just played on the TV and I legit thought it was an Anthropic commercial until the last frame youtu.be/SRxEiXiMIXk?si…

Sharif is my parents’ alma mater, my mom a ChemE & my dad an EE major. In undergrad at Berkeley, my dad would call me before EE exams to re-teach me “the Sharif way.” I grew up hearing stories about the beautiful campus where my family’s story began. This is soul-crushing.

Google Jeff Dean says bigger context windows alone are not enough What matters is staged retrieval: lightweight mechanisms that narrow a trillion tokens down to 10 million, then to the million you actually need "you don't need a trillion at once, you need the right million"

"In practice, Spectre is the beginning of a company world model: a live picture of what is happening inside Harvey and what needs to happen next." harvey.ai/blog/autonomou…

if this spacex IPO actually happens kirkland & ellis is going to have a trillion dollars in bookings unwinding the five thousand, 50 layer SPVs that have been slung into this thing over the last decade

Good day @harvey, with @ashleycapoot breaking our news: cnbc.com/2026/03/25/leg…

@ZachAbramowitz Can we still take them to lunch at Nobu

Please join me in welcoming this year’s class of summer associates to the firm!

The best legal teams aren't using AI to replace lawyers’ time. They're using AI to reclaim it for judgment, strategy, and collaboration. AI agents run the workflows. Lawyers drive the outcomes. Harvey is the platform where both happen. Today we announced new funding led by GIC and Sequoia to scale the agents our customers run on Harvey and expand the legal engineering teams that help them turn expertise into systems. Read more: harvey.ai/blog/harvey-ra…

Claude is helping me organize my whole music career and other businesses in days ... and it's moving my business forward at a high rate! Some tech youngbull I met on LinkedIn gave me a incredible template! Who else can help me with Claude

You are a CRAVATH SWAYNE senior NDA associate. Draft the best NDA for a Facebook Marketplace seller trying to offload a clapped out 2006 BMW 330i with fake M badges. Must be airtight under Bakersfield, CA law.