Ricky Patel

3-time founder.
10M ARR through 40-day water-only fasting.
Green Era Capital.

[Chamath Palihapitiya @chamath]

The insurance industry has priced the AI risk. 

Carriers went to state regulators this year asking to exclude AI-related damages from ordinary general liability policies. 

Regulators approved more than 80% of those requests, and the standard forms behind roughly 82% of American property and casualty coverage now carry a generative AI exclusion that gets attached at renewal. 

Underwriters are telling you they can't price a loss they can't inspect or audit .

This is the same problem all large enterprises have with examiners, regulators or auditors when they ask “Show me what happened and demonstrate that your controls actually worked.”

Imagine a bank builds an AI agent. The agent makes a decision that causes a $20M loss. The bank asks the insurer to cover it.

The bank’s insurer asks:

What exactly happened? Which model was running? What information did it receive? What tools did it invoke? What actions did it take? What rules constrained it? Was a human involved? Can you reproduce the sequence?

If the answer is essentially “we don’t know - the model made the decision”, the bank has a nightmare and the insurer will balk. It can’t determine causality, negligence, controls, or even whether the same thing could happen tomorrow.

But suppose the software has an immutable audit trail:

Prompt → context → model → reasoning/action path → tool calls → data accessed → permissions → output → human approvals → final action

Now the loss is inspectable. An insurer can underwrite it much more like conventional operational risk.

Software that keeps a traceable record of what it did and why is how a regulated business answers these questions.

This is the part we build: https://t.co/OZWHKVxQRH

[Greg Brockman @gdb]

learn how to use ChatGPT Work:

[RiftboundGG @RiftboundGG]

@LSXYZ9 At this point you need to do a complete collection video, it would go so crazy.

[RiftboundGG @RiftboundGG]

@nizvizkiz Yeah bro the karma is so undesired it's literally almost the same price as a ON. I don't think I'm the only one that isn't in the "demographic" lol

[RiftboundGG @RiftboundGG]

Riot kind of needs to dial in these signature arts though. I don't think anything could be a worse feeling than pulling deformed Karma Signature from SFD or Arm pit Shen from Vendetta for a 1/30 boxes hit. Who approves these? 😂
#riftbound #tcg #leagueoflegends

[Praveen Neppalli @praveenTweets]

Agentic AI adoption is on fire at @Uber, and it's changing the way we build, not just in engineering, but across the entire company.

Today, 99% of our engineers use AI tools. More than 70% of pull requests are attributed to local or cloud agents. And our engineers have built 2,500+ agent skills across the software development lifecycle.
Those numbers are exciting, but they led us to a much bigger question:

How do we bring agentic AI beyond engineering?

Finance. Legal. Operations. Marketing. Customer Support. HR. Procurement.

These functions run on complex workflows that are often manual, highly nuanced, and spread across dozens of systems. You can't automate them effectively by looking at process diagrams or documentation. You have to understand how the work actually gets done.

So we created something called Agentic Pods.

The idea is simple.

We handpicked ~30 of our most AI-proficient engineers (people with deep knowledge of Uber's systems) and paired each of them with a domain expert from a business function.

Then we gave every pod just two weeks.
• Days 1 – 2: Shadow the expert. Observe every step. Document workflows. Ask questions. Build intuition.
• Day 3: Prioritize opportunities based on scale, repetition, business impact, and data availability.
• Days 4 – 5: Build a working agent alongside the person doing the job.
• Days 6 – 9: Validate with several others performing the same work. Does it generalize? Does it actually make their job better?
• Day 10: Ship.

In just the past two months, we've run 16 Agentic Pods across 16 different business functions.
• Capital allocation across 150 cities: 15 hours → 30 minutes.
• Financial pacing reports: 2 days → 10 minutes.
• Marketing web quality assurance: 2 weeks → 50 minutes.
• Support workflow creation: 9,000 manual workflows → self-service automation.

The productivity gains are impressive, but what surprised us most wasn't the speed.
• It was how quickly engineers embedded in unfamiliar domains uncovered opportunities that had been hiding in plain sight.
• The biggest wins rarely come from automating one task. They come from rethinking an entire workflow. Once you redesign the workflow around AI, you often eliminate handoffs, remove unnecessary approvals, replace legacy tooling, reduce vendor spend, and dramatically accelerate decision-making.
• The workflow becomes the unit of automation - not the individual task.
• The most impactful agent skills cut across teams, orgs, functions, tools, and systems.

The biggest lesson? The best AI opportunities are rarely visible from the outside.

You discover them by sitting next to the people doing the work, understanding every friction point, and building with them, not for them.

We're now forming a dedicated team to scale this further and go deeper. They'll deeply understand the work, redesign it from the ground up, and use AI to fundamentally change how the business operates.

It's exciting times!

[Ricky Patel @rickypatel96]

@claudeai better hope Sol doesn’t knock it out of the park because I’m so tired of running out tokens on the max plan and @ChatGPTapp never even gets close to telling me I’m out.

[Ricky Patel @rickypatel96]

@jasonlk I have replaced hubspot and sales force in 13 locations 10m-120m using @cursor_ai & @Replit . They are dead once more people figure this out. Thank @amasad

[Ricky Patel @rickypatel96]

@elonmusk can we make a frictionless sign up for enterprise cursor, having to talk to a sales person sucks.

[Ricky Patel @rickypatel96]

@typesfast To be clear. Respect and aspiring to be there but 24k has to be a rounding error. We do 10m a year and 24k is doable. Flexport is a powerhouse.

[Ricky Patel @rickypatel96]

@typesfast It’s also fair to say you are so so rich enough to attend that. You were playing mafia with over a trillion dollars.

[Amjad Masad @amasad]

Talk your ideas to life

[Ricky Patel @rickypatel96]

@AranPloshansky @Replit How do you check these stats?

[Ricky Patel @rickypatel96]

@amasad Just for fun, how many credits did we miss out on $833k collected.

[Ricky Patel @rickypatel96]

First thing I’m going to build in public is a market place for 10x Replit native developers to find jobs and for people like me to find talented people who can 10x your output.

[Ricky Patel @rickypatel96]

Starting my build-in-public journey after generating $833k with @Replit.

What we’re building right now:

• CRM + operating system for 11 behavioral health clinics
• Operating system for an equipment finance company
• Property management platform for resort operators
• Fire safety label search & compliance software for manufacturers
• AI-powered estimating automation for manufacturers
• Operating system for an HVAC company
• Operating system for container & storage businesses
• Inventory management platform for data centers
• Quoting automation for awning manufacturers
• Operating system for luxury home builders

Our biggest constraint though is developers.

[Ricky Patel @rickypatel96]

@amasad Currently using Replit to build out custom solutions for companies between 5m-460m.

Would love to show you what we’ve done and join Replit on their b2b saas products and sales teams.

[Amjad Masad @amasad]

1. Open X
2. Click on notifications
3. See entrepreneurs making money with Replit.

Happens daily now — Best feeling in the world!

[Ricky Patel @rickypatel96]

@amasad @Replit @MannyBernabe @Franciscocrz Amjad! An honor for you replying and getting me in touch with the right people. Thank you!

Would love to talk to someone on your team about some of the products we are creating and some of the barriers we’ve ran into.

[Ricky Patel @rickypatel96]

@Replit @amasad Just passed 233k MMR selling and developing software mostly with Replit. Thank you guys!

That being said I’ve been trying to get into your Discord for 2 months and no one has helped me. We are spending over $600 and growing a month with Replit. Please help.