Today we’re launching micro1’s PII transformation model, flow-transform 1.0, delivering frontier-level performance across detection, identity synthesis, and transformation of personally identifiable information.
On PrivacyBench, our model reaches 96.0% F1, outperforming every detection baseline we tested, including Tonic Textual, Claude Opus 4.8, Sonnet 4.6, Microsoft Presidio, Haiku 4.5 and GLiNER2.
Some of the most valuable training data for frontier AI models lives inside fully functioning companies. It captures years of real work across decisions, communications, tools, handoffs, exceptions and the relationships connecting them.
The problem is that this data is also full of PII.
Traditional redaction makes the data safe, but it also destroys the very workflows and relationships frontier models need to learn from.
flow-transform 1.0 solves this by turning enterprise operational data into high-fidelity training data for frontier models by replacing real-world identities without flattening the reality the data captures.
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be Alex Mashrabov
> start programming at 10
> get a Meta internship offer at 18... turn it down
> build an AI startup called AI Factory instead
> Snap buys it for a reported $166 million in 2019
> leave and co-found Higgsfield to launch the AI video platform in 2025
> get 32 million users and nearly 1 million paying subscribers
> on track for $1 BILLION+ in annualized revenue
> built one of the fastest-scaling gen AI companies in the US
and he says they're barely scratching the surface
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Introducing Agora-2, our next-generation multi-agent world model.
Agora-2 supports up to 20 humans and agents interacting inside a shared environment, all simulated in real time.
Our multiplayer research preview is available to try right now!
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We live in a new era of “Entertainment Ads”
Majority of the top brands are doing one of these formats
>Song ads
>Drama ads
>Educational animation
They all share the same reason why they work
They are entertaining, they don’t feel like an ad, they blend into the scroll
People aren’t on their phone to buy other wise they’d be on Amazon, they’re there to pass time
Making your ad entertaining is the number one way right now to capture that initial attention
Then you need to use the copy to sell them
I made this AI Pixar movie trailer ad for a brand and I haven’t seen anyone create in this way before
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an ex Meta guy who literally built Meta Ads just launched an agent that will run entire campaigns on autopilot…
the AI agent makes static, UGC and VSL ads with b-roll from ONE prompt
then it runs the whole campaign by itself:
- scans competitor ads from Meta ads library, pulling the winning ads in the niche before making any ads
- determines angles they are using that you aren’t
- builds and improves on the winning ads
- pushes the ads it made into Meta ad account
- collects and reviews data by the minute
- suggests of ads based on that data
- 24/7, no human input required
entire marketing teams being outperformed
try this and lemme know the results
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AI can run a brand better than humans.
We ran a brand with ONLY AI agents to prove it.
Introducing Notch: the AI behind it.
Andrej Karpathy said something that really stuck with me:
"you have to ask yourself: how do i get MAXIMUM output from AI with minimum input from me, and have it run for a long time without me"
this is how everyone should be working with AI... and these guys pretty much built the GTM version of it:
- one prompt turns your browser into a GTM agent
- it goes and finds leads, researches companies, sources creators for your campaigns
- it checks inboxes and updates your spreadsheets while you do literally anything else
hours of manual GTM work, gone from one prompt
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30 seconds of typing can now turn into 100 hours of GTM work.
Introducing Polar for GTM.
Give Polar your ICP and tell it what needs to get done.
It can find accounts, research companies, find decision makers, enrich leads, update sheets, check replies and prep follow-ups.
Then save the workflow and run it again. 👇
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this article alone covers 80% of what REALLY matters in SEO today...
how to make money building a clone for Higgsfield:
the easiest way to market an ai video SaaS is handing people the tool to easily make them... so don't build the tech, sell it
> plug the Higgsfield api into an agentic system
> get stupid pricing up to 50% off while the deal is live (it ends today)
> stack your offering with everything they built over the years... Genjutsu, Cinema Studio, Soul, cheap Seedance 2.5 with face inputs in the US
> add prebuilt templates for the formats already going viral, charge extra for one-click
people will buy from you if you completely delete the part where they have to engineer stuff and understand how it works
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1 day left to lock in up to 50% OFF Higgsfield API.
Build your own AI app with our product endpoints, including:
• Higgsfield Genjutsu
• Cinema Studio 4.0
• Higgsfield Soul
Plus all frontier video and image models through the same API.
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DigitalOcean Managed Agents is now in public preview.
Run Claude Code, Codex, or your own LangGraph agent in a runtime environment that pauses when idle. Put its tools behind one governed endpoint, and pick from 75+ open and proprietary models. One cloud, one bill.
Prompts to get started available in the blog:
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whoever builds AI support agents for companies right now is going to make a LOT of money (these guys made $140M ARR in 90 days)
because customer support is honestly the easiest job you can hand to an agent... every business with a support inbox needs this, and almost none of them have it yet
the whole thing is one loop:
- read the message
- pull the account context
- decide what applies
- reply
an agent runs that in seconds, your team only touches the weird ones... the angry customer, the call that needs real judgment
and Deel is already running this exact setup for customer service ticket management, the queue just drains itself... they used AKAI internally and saved 90,000 hours of work in backoffices in first few months
go be the one who sets this up for others... the window where it's still rare won't last
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EXCITED TO LAUNCH: Akai (
Deel added >$140M ARR in 90 days without increasing headcount by automating~600 Full Time Employees' equivalent in work with Akai.
Akai was an internal tool to automate our painfully repetitive operations in Finance, HR, Accounts Payable, and Compliance, etc. We never intended to make this a product.
But we watched revenue per employee grow from $130K to $215K
We built >8k agents that do the work of ~600 employees
It had such a dramatic impact on our business that today we are launching it for everyone.
How it works: Say you're automating payment reconciliation:
1. Record your screen while manually matching a messy transaction and Akai will capture your screen, voice, server requests
2. Akai will see that you pulled unformatted wire transfer info from an archaic bank portal, put it in some excel sheet, checked NetSuite invoices, payment history, and put a ticket on Zendesk
3. Akai reads between the lines and build a workflow + steps + conditional guardrails. It learns tacit edge cases, like resolving malformed invoice references without you writing a single regex
4. Simply connect NetSuite, your ledger, Zendesk, PSPs, and even legacy bank portals with zero API access
5. Run the workflow and tell it what to adjust in plain English: "strip slashes on wire memos and auto-apply partial payments." It adapts instantly
6. Once it works for you, add 100s of colleagues. Your entire payment ops team forks and extends the workflow for new PSPs, secondary ledgers, or regional settlement rules
7. We automated 85% of our payment reconciliation end to end, eliminating 500+ hours of soul-crushing manual grunt work every single week.
Claude Code/Codex can't do this in multiplayer mode. Every person rebuilds the same skill from scratch in their own way.
Deel built Akai to:
1. Understand backend operations edge cases (it had to work for our 7000 person team first)
2. Collaborative across 1000s of employees
3. Self-Learning from millions of runs
4. Optimises cost and gets cheaper every run
We're so confident that we're announcing an Automation Guarantee:
If our engineers can't automate a thousand of hours of work in your first 30 days, you get a full refund.
Book a demo: if you're an exec at a company with hundreds of employees
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it's time everyone realizes we are the ONLY bottleneck left
i genuinely believe there's nothing an agent can't do today, as long as it's well engineered and equipped with the right tools
so rewire how you work:
- map your workflows and everything you do
- isolate one vertical and put real hours into building a very specific agent for it
- expand every week until you run an army of specialists
this is the cheapest way to build and scale a business right now, all you need is a computer and enough time to research, try, fail and implement again
go build your first specialist today
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met a 17yr old over the weekend named Zhantai who works at a sauna in nyc:
> he works a minimum wage job
> he day trades on the side and has 5 fig months 🤣
> he got into trading from TJR
> he found out about Whop from our YouTube
> he's about to launch his first biz on Whop
it's all about the youth!
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whoever builds AI support agents for companies right now is going to make a LOT of money (these guys made $140M ARR in 90 days)
because customer support is honestly the easiest job you can hand to an agent... every business with a support inbox needs this, and almost none of them have it yet
the whole thing is one loop:
- read the message
- pull the account context
- decide what applies
- reply
an agent runs that in seconds, your team only touches the weird ones... the angry customer, the call that needs real judgment
and Deel is already running this exact setup for customer service ticket management, the queue just drains itself... they used AKAI internally and saved 90,000 hours of work in backoffices in first few months
go be the one who sets this up for others... the window where it's still rare won't last
Show more
EXCITED TO LAUNCH: Akai (
Deel added >$140M ARR in 90 days without increasing headcount by automating~600 Full Time Employees' equivalent in work with Akai.
Akai was an internal tool to automate our painfully repetitive operations in Finance, HR, Accounts Payable, and Compliance, etc. We never intended to make this a product.
But we watched revenue per employee grow from $130K to $215K
We built >8k agents that do the work of ~600 employees
It had such a dramatic impact on our business that today we are launching it for everyone.
How it works: Say you're automating payment reconciliation:
1. Record your screen while manually matching a messy transaction and Akai will capture your screen, voice, server requests
2. Akai will see that you pulled unformatted wire transfer info from an archaic bank portal, put it in some excel sheet, checked NetSuite invoices, payment history, and put a ticket on Zendesk
3. Akai reads between the lines and build a workflow + steps + conditional guardrails. It learns tacit edge cases, like resolving malformed invoice references without you writing a single regex
4. Simply connect NetSuite, your ledger, Zendesk, PSPs, and even legacy bank portals with zero API access
5. Run the workflow and tell it what to adjust in plain English: "strip slashes on wire memos and auto-apply partial payments." It adapts instantly
6. Once it works for you, add 100s of colleagues. Your entire payment ops team forks and extends the workflow for new PSPs, secondary ledgers, or regional settlement rules
7. We automated 85% of our payment reconciliation end to end, eliminating 500+ hours of soul-crushing manual grunt work every single week.
Claude Code/Codex can't do this in multiplayer mode. Every person rebuilds the same skill from scratch in their own way.
Deel built Akai to:
1. Understand backend operations edge cases (it had to work for our 7000 person team first)
2. Collaborative across 1000s of employees
3. Self-Learning from millions of runs
4. Optimises cost and gets cheaper every run
We're so confident that we're announcing an Automation Guarantee:
If our engineers can't automate a thousand of hours of work in your first 30 days, you get a full refund.
Book a demo: if you're an exec at a company with hundreds of employees
Show more
join 15k founders using my system, plus one email per week (it's free)
it's time everyone realizes we are the ONLY bottleneck left
i genuinely believe there's nothing an agent can't do today, as long as it's well engineered and equipped with the right tools
so rewire how you work:
- map your workflows and everything you do
- isolate one vertical and put real hours into building a very specific agent for it
- expand every week until you run an army of specialists
this is the cheapest way to build and scale a business right now, all you need is a computer and enough time to research, try, fail and implement again
go build your first specialist today
Show more
Introducing Codos: The first virtual Chief AI Officer.
AI is crushing all benchmarks but real companies still struggle to see P&L impact.
Codos interviews employees, deploys automations across all functions and gets smarter over time while running on your own servers.
Our NASDAQ-listed and PE-backed customers are adding millions to their bottom line months ahead of schedule and we are proud of the first results we deliver.
It’s time to turn the 500BN AI-transformation market into software and unlock the impact for the real economy.
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ok guys i need you
i want to invest $20-30k in a local AI setup
what's best? Mac Studios? Spark?
what can i expect to run? GLM 5.3? DSV4 flash?
this is probably the most important article i've ever written...