CEO @ Skypoint | Replacing Administrative Labor with AI Agents | Healthcare & Senior Living | HITRUST r2 | Deloitte Fast 500 | Inc. 5000
Lake Oswego, OR
Joined August 2015
- Tweets1.2K
- Following686
- Followers280
- Likes4.5K
Tisson Mathew retweeted
ai has made many new things possible
how should an org deal with it? what should you do?
i got sick of the long slop docs, shared videos and unusable apps
sent this to the teams inside @Snowflake
warning! actual sentences follow.
--------
Always, always look at what you are suggesting from the perspective of the recipient. Empathy is the top AI skill.
Information:
-- Aim to inform; concisely; Nobody likes reading reams of material
-- Always add value: don’t share a video without doing the work to generate a verified summary and / or your perspective.
-- Don’t flood people: a 90m video to watch is 89m too long
Apps:
-- Always start from your end user perspective: what do they want? Think like them.
-- Meet users where they are: show up in email or slack if you can. Cowork / coco are the next options. Unless for a specific high volume task, nobody wants to use another app. They are impossible to find and generally really hard to use.
Don’t confuse “AI native” for “flood of new apps” or “flood of documents”. AI native is about reimagining work to be simpler & easier allowing us humans to focus more on judgement and rumination.
Tisson Mathew retweeted
I don't think we should fight. The two companies are complementary. Since you're not doing this AI stuff, I really think Snowflake should consider getting its AI tokens through Databricks. You can get both cheap OSS models as well as frontier (OAI/Ant/Gemini/Grok) models from our platform. It all goes through Unity Gateway which has Smart Routing, Budgets, and Access Control. You can even use Omnigent with any harness, including CoCo. Most of our customers used this to reduce token spend ~30% last few months while token count went up. Genie lets you then track, control, manage that spend, all your financials, marketing, etc. Quick POC?
Tisson Mathew retweeted
This is correct. The vast majority of enterprise workflows have not actually had agents applied to them in any meaningful way. The economy probably has this deployed < 1% right now.
At best you have a few automated systems in a company that do a single pass of an LLM to make a decision or provide feedback, but very little real “automation”. Some of this is a statement about the adoption rates of technology in enterprises, but the vast majority of it is really just due to the capability of AI itself.
That’s all changing. Now with computer use, long running agents, harness improvements and surrounding infrastructure, we’re finally at a point where we can start to apply agents at more complex workflows.
We will see self-improving systems that can take any particular workflow goal and improve the execution rates over a volume of instances. And with the emerging form factor of agent swarms, you can just choose to deploy any amount of compute at a problem and agents will off and do the work.
This won’t be about and users prompting agents to complete a specific task for them, but instead the organization reengineering the underlying workflows to take advantage of agents in their processes. This will have a massive impact in finance, life sciences, healthcare, and other information-heavy domains. Lots of opportunity to build and deploy these systems right now.
Tisson Mathew retweeted
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.
In doing so, we’ve learned much more about how Claude can support the many stages of drug development.
In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.com/research/early…
Tisson Mathew retweeted
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more: anthropic.com/news/s1-sec
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
Tisson Mathew retweeted
Anthropic is now recommending that companies REMOVE unnecessary subagents from their AI systems.
This is a pretty significant shift in agent architecture, with their team finding that a single agent equipped with skills can frequently outperform complex multi-agent systems, and one customer seeing roughly 2x faster execution.
The emerging rules of thumb:
→ Skills: Teach the agent HOW to do something, including procedures, expertise, and instructions.
→ Tools / MCP: Give the agent the ability to DO things through APIs, actions, and live data.
→ Subagents: Use for parallel work, isolated context, or tasks a single agent struggles with.
The interesting part is progressive disclosure. Instead of spawning specialized agents or stuffing everything into a giant prompt, one agent discovers and loads skills and tools as needed.
Their advice is to fold existing subagents into the main loop, turn their instructions into skills, expose their actions as tools, and run evals to see if performance holds up.
As models have gotten smarter, improving agent architecture is becoming less about what you can add and more about what you can delete.
claude.com/resources/article…
Tisson Mathew retweeted
New on our Frontier Red Team blog: using Claude to formally verify software at large scale.
Formal verification can prove that code is free of certain bugs, but historically it has only been feasible for small codebases (or required a lot of expert time).
With AI models, however, this is beginning to change. In collaboration with @theoremlabs, we used Claude to prove security properties in over one hundred real-world open-source libraries over the span of a few weeks.
Read our research in full here: anthropic.com/research/forma…
Tisson Mathew retweeted
pretty much every major ai company now has a personal agent product except google:
meta → muse
anthropic → duet
openai → dots
spacex → bots
slowly but surely the competition is shifting from who has the smartest model to who owns the persistent relationship with the user. this will be even more the case going forward.
you're seeing this because we likely reached peak intelligence required to power most of the worlds workflows probably earlier this year if not late last year.
Tisson Mathew retweeted
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.
It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
Tisson Mathew retweeted
every major company is arriving at roughly the same offering:
persistent memory, email/calendar/messages, browser + computer use, background tasks, proactive notifications, voice, app/tool execution, ambient context, & some notion of a personal agent sitting above everything.
remarkable levels of convergence with very little differentiation whatsoever.
Tisson Mathew retweeted
Every child has dreams. Investing in their future is investing in America’s future 🇺🇸
Tisson Mathew retweeted
I could not imagine being productive without Claude Code Review. It runs on all of my PRs, and catches almost every bug before it goes it. This is a piece of the secret sauce that lets the team and I move so quickly while raising the quality bar
Tisson Mathew retweeted
We are migrating our backend from python to go.
This would be completely impossible 3 years ago. Now it's taking 1 person only 1 week.
Tisson Mathew retweeted
I love seeing strong engineers join Databricks, get access to all the AI dev tools, ask AI everything on day 1, and land impactful PRs on day 2.
Before AI: 2 weeks with an onboarding buddy, reading design docs and the codebase, just to land a tiny patch on week 3.
Tisson Mathew retweeted
New on our Engineering blog: Creating in-house source control.
In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale.
Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: anthropic.com/engineering/re…
Tisson Mathew retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
Tisson Mathew retweeted
2027 will be the year of the personal agent. It has finally found PMF with Instinct, Muse & Grokbot.
This will cause a tsunami of customer enquiries — it’s now essentially free for a customer to send hundreds of emails, texts and phonecalls to make a single purchase.
Businesses will need AI customer service tools to save themselves from drowning.
I started my career at Intel research labs doing devices and firmware, with a model like Opus 5.5 and claude code + other harness and simulations we could build, I could do my job 1000X faster and cheaper .. so do you think this is going to end with "software", explain software? code? you mean hardware and devices is not code?
Hardware and devices will have the same effect of coding agents as it moves into more designs and simulation, don't think anymore got a "moat" with hardware or devices.
The impact of automating coding and knowledge work is only just beginning.
The sequence is clear: automation of cognitive labor leads to automation of knowledge work, which leads to automation of physical labor through devices and robotics.
Every enterprise software company now has the opportunity to move into hardware and robotics, at a fraction of the cost and at scale.
A year ago we saw the first signs with Opus 4.5. Today, with Opus 5.5 and always-on agents like Muse, it’s happening at scale, with personal AI doing real work every day.
Superintelligence will be polarizing, and it will define competitive advantage.
Picture two construction companies, one with AI and one without. I don’t need to explain how that ends.
The work now is diffusing AI into your enterprise safely and responsibly.
Start today!