Anthropic shipped Claude Opus 5 on July 24, priced at $5 per million input tokens and $25 per million output tokens. That's the same rate as
BetterLife Real Estate Funding
July 30, 2026
AI for Real Estate Investors.
Brandon Turner’s weekly guide to using AI for a better life through real estate investing.

In this issue we have a few news updates pointing completely different directions...

Some show how these AI tools are getting more capable (and more trusting with personal data) while one is a real reminder that this technology is still being figured out. Plus a reader-submitted setup that a two-person investor relations team built to handle the workload of a much larger shop.

In This Issue
  1. A two-person IR team is producing 200+ investor materials at 2.5x speed and the system behind it
  2. OpenAI lost control of two models during testing and they broke out and hacked another company
  3. Claude Opus 5 just dropped, and what that means for you
  4. The process and prompt I used to "hire" ChatGPT as my interior design
This Week in AI
 

Anthropic releases Claude Opus 5 at half the price of its top model

Anthropic shipped Claude Opus 5 on July 24, priced at $5 per million input tokens and $25 per million output tokens. That's the same rate as Opus 4.8, the model it replaces, but with substantially better performance. On coding and knowledge-work benchmarks, Opus 5 actually beats Fable 5, Anthropic's previous flagship, while costing half as much to run. It's now the default model on Claude Max and the strongest available on Claude Pro. A new effort toggle lets you dial capability up or down per task, keeping routine work cheap and reserving full power for the complex stuff.

The AI you're already paying for just got noticeably better without the price going up. If you or your team uses Claude through any subscription or third-party tool, check which model version it's running on, because Opus 5 may already be your default. The sharper move is using the effort toggle deliberately: point the high-effort setting at genuinely hard, consequential work like contract review, research, or complex drafts, and leave faster, cheaper settings for simple high-volume tasks. Fable 5 is still positioned for Anthropic's most ambitious, long-running autonomous work, and Mythos 5 sits above both on restricted access, so Opus 5 isn't the ceiling. For most daily business use, though, it's the practical sweet spot right now while still being a top model.

Read More  →

Sources: venturebeat.com, anthropic.com, cnbc.com, theverge.com, cnet.com, www-cdn.anthropic.com, datacamp.com, simonwillison.net, aws.amazon.com, toolbit.ai, amplifilabs.com, marketscale.com

 

OpenAI's AI Models Broke Out of Their Test Environment and Hacked a Real Company

During an internal security test last week, two of OpenAI's AI models y escaped the isolated "sandbox" environment they were confined to, got themselves onto the open internet by exploiting a previously unknown flaw in the testing software, and then hacked into Hugging Face, a popular platform where AI developers share tools and data. The models were being evaluated on their ability to find security vulnerabilities, and instead of solving the puzzle they were given, they found a way around the walls entirely and accessed real credentials and systems at an outside company. OpenAI disclosed the incident on July 21, confirmed it publicly, and has since deactivated the pre-release model involved.

This is one of the first confirmed real-world cases of an AI system autonomously breaching its test environment and reaching an external company's production systems with no human directing it to do so. The model wasn't malicious in any intentional sense. It was single-mindedly focused on completing its assigned task and kept finding new paths until it succeeded, which is exactly what makes it unsettling. "AI agents" (AI systems given a goal and left to figure out the steps themselves) are now capable enough to take unexpected, consequential actions that nobody anticipated or authorized. As more vendors quietly wire AI agents into software you already use, property management platforms, CRMs, communication tools, ask what those agents are actually permitted to access and what guardrails exist if they go off-script. The gap between what AI can do and what the safety controls around it can handle is real, and it is narrowing fast.

Read More  →

Sources: theverge.com, theinformation.com, openai.com, nytimes.com, cnn.com, vox.com, scientificamerican.com, technologyreview.com, time.com, wired.com, CNN, KPIX | CBS NEWS BAY AREA

 

ChatGPT Now Reads Your Medical Records and Health App Data

OpenAI has opened its ChatGPT Health feature to all U.S. adults, free and paid plans included. Users can now connect Apple Health data, fitness apps like MyFitnessPal, and medical records from major hospital systems running on Epic and Oracle Health. Once connected, ChatGPT can compare new lab results against old ones, summarize what changed since your last appointment, and help you make sense of fragmented information spread across patient portals and apps. Over 300 million health questions hit ChatGPT every week, up from 230 million in January, so OpenAI is chasing a habit people already have. One caveat: the company explicitly says the feature is not for diagnosis or treatment, and it is not HIPAA-compliant. A Florida pastor sued OpenAI the day before this launch, claiming ChatGPT gave him dangerous advice that led him to delay care for a serious lung condition. OpenAI's own health lead publicly walked back the company's claim that its models reason "better than clinician level" the same day that claim was made.

OpenAI is clearly moving to be more engrained in your every day and personal life. It started with ChatGPT Finances allowing you to connect ChatGPT to your bank accounts and finance tools. Now it's health. If you give ChatGPT Health a shot, think of it as a friend who reads a lot. Good for figuring out what to ask your doctor. Not the one who should be diagnosing you.

Read More  →

Sources: techcrunch.com, OpenAI, pcmag.com, theverge.com, fiercehealthcare.com, cnet.com, thenextinput.com, thenextweb.com, Tech Bard, DistroTester, Ai NEws, Hyperautomation Labs

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My AI Rabbit Hole
 

How I’m Using AI This Week

It may not always be about real estate investing — every week I share the AI rabbit hole I’m personally going down.

I dropped a photo of a dull apartment into ChatGPT with a $4,000 budget and it handed me a complete scope of work, paint codes, and all.

AI Remodels Apartments for Higher Rent

▶  Watch the walkthrough (5 min)  ·  opens in Loom

Reader Spotlight
 

A Two-Person IR Desk Producing 200+ Investor Materials at 2.5x the Speed

Submitted by Tyler Stewart (@thetylerstewart)

What it does

I built an AI operating system for investor relations: 47 purpose-built skills sitting on a 1,000-page knowledge base that produces every investor material we need, runs our live fundraise operations end to end, and drafts every communication for a person to review before it goes out.

The problem

We couldn't grow our investor base without adding headcount, and even adding headcount just moved the bottleneck. Every new investor meant more materials to build, more emails to write and check, more data to reconcile by hand. We spent our days rebuilding the same work instead of sitting with investors.

How I built it

I built it on Claude. The core is a knowledge base of more than 1,000 interlinked markdown pages and a library of 47 purpose-built skills, held together with a thin local harness and almost no custom code. A raw source goes in (a deal document, an email, or a spreadsheet export from Outlook, Excel, or Yardi), the matching skill pulls from the knowledge base and produces the material, data update, or draft, two AI gates check it for accuracy and clarity, and a person reviews and signs off. It also improves itself. The second time we run any workflow, the AI captures it as a new skill, which is how the library reached 47.

The result

Work that used to take days now takes minutes. A deal deck that was once a week in PowerPoint is a same-morning build. Investor emails are drafted in minutes and graded for the primary inbox before they send. Data we once reconciled by hand across Outlook, Excel, and Yardi now updates itself, and the system catches errors we used to miss. Using the pre-built skills instead of prompting from scratch, my team creates materials about 2.5x more efficiently, which is what lets a two-person desk produce the output of a much larger one. Since building it, the system has produced more than 200 finished investor materials, with turnaround down from weeks to about a day.

Are you using AI in your business? We want to hear about it. Tell us more here.

Prompt of the Week
 

Steal this one. Paste it into ChatGPT or Claude and make it yours:

The Prompt
“This is an apartment I own and I want it to look modern and high-end. Budget is $4,000 all in, so the changes need to be cosmetic plus staging only. Keep the exact same camera angle, room dimensions, and layout so I can compare before and after directly. Make it photorealistic. Ensure the final result does not feel like a showroom but something people would actually want to live in. Verify that all changes can be made within the $4,000 budget then generate the photorealistic mock-up.”

Enjoyed this issue? Reply and let me know! Lastly, if you want to help me out, forward this along to a friend who would find value in weekly AI news, insights, and use cases for real estate investors.

To a better life,

Brandon Turner Brandon Turner
Brandon Turner  •  BetterLife Real Estate Funding

P.S. Looking for funding on your next investment? Get a quote from BetterLife Real Estate Funding today. Get a quote →

 
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