Tisson Mathew

It’s official, Gemini Live 2.5 voice agent is the best It’s smart, it’s fast, it has large enough context Coming to GBrain Voice shortly

I’m starting to think software engineering won’t die, it will just expand in role responsibilities as coding shrinks. You will be a software engineer + security engineer + data engineer + AI/BI engineer all rolled into a single role. That is a minimal expectation.

The big difference between a true "agent" and simply running an LLM in a loop (or an event-based trigger) is how you do intelligent long-horizon memory management. By far the most interesting aspect of the Claude Code architecture was their 3-tier memory architecture.

I just walked with a $10BN public company CEO. He told me his CoS replaced a piece of software they had been paying $1.2M per year for. It took him 3 weeks to build. F*** me software is more toast than I thought.

Executive compression is happening faster than anyone expected. Workday's CTO took "Member of Technical Staff" at Anthropic. Atlassian's CTO took "Business Lead" at Stripe. Mike Krieger went from CPO to MTS on the Claude Code team. Instagram cofounder voluntarily dropping "Chief" from his title to write code. Four senior executives in six months all made the same bet: get closer to the work. AI tools are collapsing the ratio of managers to makers. One senior IC with Claude Code and deep domain knowledge is starting to outproduce a 15-person team with three layers of oversight. The management layer that made sense when shipping software required 200-person orgs is compressing fast. When that happens, the value of "Chief" anything drops and the value of "person who actually builds" spikes. A CTO managing 500 engineers is less differentiated than an engineer who can ship with frontier models. The smartest executives in tech are dismantling the ladder and moving to the floor where the work happens. The org chart of 2030 is going to look nothing like today, and these moves are the first draft.

Told you so … skypoint.ai/products/skyag…

We released Claude Cowork as a research preview 12 weeks ago. Since then, millions of people have made it part of how they work - and hundreds of thousands more are trying it every week. I'm really optimistic about its ability to make people more productive. Today, we're removing the "preview" label, marking Claude Cowork as generally available - with new enterprise controls for businesses.

MICROSOFT BUILT A TOOL THAT CONVERTS LITERALLY ANYTHING INTO CLEAN MARKDOWN FOR YOUR LLM pdfs. word docs. excel. powerpoint. audio. youtube urls one pip install and your AI pipeline stops choking on raw files forever no custom parsers. no broken layouts. no garbled text. just clean, structured markdown your LLM can actually read github.com/microsoft/mark…

My biggest takeaways from @AnthropicAI's Head of Growth Amol Avasare: 1. Engineering is getting the most AI leverage—and it’s squeezing PMs and designers. With Claude Code, a five-engineer team now produces the output of 15 to 20 engineers. But PM and design productivity haven’t scaled proportionally. The result is a compressed ratio where one PM is effectively managing the output of a much larger engineering team. Anthropic's growth team is responding in two ways: hiring even more PMs (!), and formally deputizing product-minded engineers to act as mini-PMs for any project with less than two weeks of engineering time. 2. Anthropic is using Claude to automate its own growth. The internal initiative is called CASH (Claude Accelerates Sustainable Hypergrowth). It works across four stages: identifying opportunities, building features, testing quality, and analyzing results. Right now it handles copy changes and minor UI tweaks. The win rate is comparable to a junior PM with two to three years of experience, and improving rapidly. 3. The one part of PM work that AI can’t automate yet: getting six people in a room to agree. Amol and his head of design joke that even with AGI, it’ll still be impossible to align six stakeholders. Cross-functional coordination—managing opinions, navigating politics, mediating tradeoffs—remains the bottleneck that AI doesn’t touch for larger projects. This is why Amol believes PM roles aren’t going away, and may actually grow. 4. 60-80% of Anthropic’s growth team's projects have no PRD. For smaller work, kickoffs happen on Slack—messages back and forth with product-minded engineers who can push back and ask the right questions. For larger projects, Amol believes in a proper 30-minute cross-functional kickoff (legal, safeguards, stakeholders) to surface concerns early. 5. Adding friction to onboarding drives growth—if the friction helps users understand why the product is for them. His work Mercury, MasterClass, Calm, and now Anthropic, adding steps to onboarding flows consistently improved conversion. The key: cut annoying friction that doesn’t add value, but add friction that helps users understand why the product is for them. 6. AI companies need to focus on bigger bets, not better A/B tests. Amol’s argument: if your core product value is driven by AI, then the future value is orders of magnitude higher than today’s value, because model capabilities grow exponentially. In that world, micro-optimizations capture a shrinking share of a growing pie. Traditional growth teams do 60% to 70% small optimizations and 20% to 30% big swings. At Anthropic, they flip this ratio. 7. Amol built a weekly AI agent that scans Slack for cross-functional misalignment. Using Cowork with the Slack MCP, he has a scheduled task that looks across his projects and conversations and surfaces areas where teams are about to do overlapping work or pull in different directions. A colleague on the enterprise team already caught major misalignment that would have caused weeks of wasted effort. 8. A traumatic brain injury taught Amol the principle that now drives his work: freedom through constraints. In early 2022, a kick to the head during a Muay Thai sparring session caused a traumatic brain injury. Amol spent nine months off work and months relearning to walk, unable to look at screens or listen to music for more than 20 seconds. He was re-injured a month after joining Mercury and had to take two more months off. He’s still not fully healed. But the constraints—no alcohol, no caffeine, mandatory breaks, daily meditation—have become the habits that let him operate at the intensity Anthropic demands. “The true freedom in life is learning how to be content when you don’t get what you want.”

I'm calling it. AGI is already here – it's just not evenly distributed yet.

We built our own AI VP of Customer Success on @replit with zero engineers. 70% fewer human hours. 10x more customer logins. Sends 100 personalized sponsor emails in 10 minutes that used to take a human a full week. More on how we did it and how you can too:👇

The most AI proof job in the world is entrepreneurship Use it to make products and services. Build more companies. On Shopify or otherwise.

Every founder and CEO should read all they can about the drama triangle. If you cannot face another person directly, you will drag a third person in and call it process. That is how companies rot from the inside.

@drriteshmalik F the moats - IMO!

one of the finest articles on moats

Only 1% of people, maybe less have the drive and dedication to put in the work for a long period of time. So there's plenty of opportunity for those with AI. Don't over worry about "moats" all f***ing day! Get to work, create value for customers and everything will work itself out.

@satyanadella Where's the output? word or ppt?

Introducing Critique, a new multi-model deep research system in M365 Copilot. You can use multiple models together to generate optimal responses and reports.

Computer Use is now available in Claude Code, too - where it provides Claude with the ability to use your mouse and keyboard. Just like in Cowork, you allow specific apps only and select whether the model should be able to just look or also click & type. To enable it, enter /mcp and turn on computer-use!

@bcherny @Ra1kshit @claudeai @bcherny go for a $1K plan

Working as hard as we can to make this better. It’s not easy growing at this rate, and it has been straining our services. Thanks for bearing with us. A number of significant improvements landed in the last few Claude Code releases and a few more on the way. Make sure you’re on the latest version.

Claude code is essentially unusable for me i hit 36% session limits in 15 mins. Just by using a single agent on my codebase. @claudeai you need to fix it. I'm on the 100$ plan btw

Here’s the truth: we’ve already reached AGI — we just haven’t implemented it broadly. Millions of jobs are being lost as we speak. Entire careers will be retired. The rich and powerful investors and founders who implement AGI will get bizarrely rich beyond what makes sense. It will break people's brains on both sides. It’s gonna suck for a lot of our friends and family, who aren’t obsessed with their careers, because things are moving so fast they won’t have even left the starting gate by the time the awards are handed out. We’re gonna have to solve for a lot of second- and third-order effects, some of which will suck (job loss) and some of which will be awesome. AI will create free/cheap energy, free education, cheaper and better food, homes that build themselves and medicine that makes you as healthy as a 30-year-old when you’re 100. … change is hard, but humans are the most adaptable species nature has ever created. We can figure it out.