creative director @LabyrnthCo - AI/Web3 video content creator, educational videos | member of @aiscwork
Joined December 2021
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last year it took me 4 months and about 10 phone calls to see a dermatologist
- the first office wasn't taking new patients
- the second was out of network
- the third needed a referral
my primary doctor wanted to see me before sending one. their next opening was 6 weeks away
every answer came with another thing i had to arrange
that's the part of healthcare Vene is built to help with. coordinating referrals between doctors, booking appointments and handling the paperwork and insurance follow-ups
it can't make a waitlist shorter. but i would've happily handed over the work of getting everything ready so i could actually get on it.
🤝 Paid partnership
Today, I'm launching Vene: your AI advocate for healthcare.
I used to spend a dozen hours a week managing care for my dad, a disabled veteran, and my mom, who has a severe autoimmune disease. Healthcare was a full-time job for my family.
Our goal is to end the burden of care for every family:
When you're sick, or caring for someone who is, the hard part is everything after the hospital: the referral that never arrives, the test result nobody calls about, the bill that makes no sense, and everything in between.
For my dad, he spent hours on the phone to book an MRI. When he showed up, they told him to his face that insurance had stopped covering it. Then insurance told him to call a list of other offices and get the paperwork sent over himself, and he ended up giving up.
That’s why we’ve trained Vene to handle the toughest aspects of healthcare:
- Coordinating several specialists at once
- Challenging surprise bills and treatment denials
- Catching missed follow-ups and care gaps
My mom uses Vene to coordinate her primary care and endocrinologist, automatically refill and renew her prescriptions, and manage my little sister’s dental appointments.
They were my first users, and now over 5,000 families use Vene, and we're deploying it to another 50,000 patients across provider networks in the US.
the chain may soon be the least important detail
@fulldotfun puts robinhood chain, arc and bnb launches in one market
tokens start on a bonding curve and move to dex liquidity when it fills
when several chains share one interface, traders start choosing the platform before the network
Introducing full.fun 🚀
Create, launch, and trade memecoins across all chains.
The next era of on-chain trading starts here.
the model war just became invisible
most employees will not choose between grok, claude or chatgpt
they will use whichever model is already inside the software doing their work
ai coding has created a testing crisis
teams can now ship more code than they can understand
the worst bugs appear when an old job, a new deploy and a payment timeout collide in the wrong order
@brekenai runs those failures before users become the test suite
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
the real ai goldmine is old code
banks and governments still depend on cobol, fortran and visual basic
writing new software is easy compared with understanding 40 years of business logic without breaking anything
Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic.
These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works.
We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next.
openai.com/index/low-resourc…
Why pay extra to use the same AI models?
@sunra_ai now brings image, video and audio models into Claude and ChatGPT at their original API prices
No markup, no switching between apps
🤝 Paid partnership
Today we're launching Sunra MCP, with the most accessible pricing in the industry.
Every leading image, video and audio model, right inside Claude, ChatGPT and the AI assistant you already use. Each one at its maker's own API price, with no markup added.
Now is the time to build. Go create something no one has seen before.
how to build your first ai agent in claude code
start with one job you repeat every week
example: turning a new ai update into a verified x post
create 3 files
→ best-posts.md
→ writing-rules.md
→ trusted-sources.md
then ask claude code
“create a project agent called content-researcher
give it only file reading and web search tools
when i send a topic, check primary sources and return
→ 5 verified facts
→ 3 opening lines
→ 1 finished post
cite every claim and mark anything you cannot verify”
test it on 3 topics you already know well
every time it gets something wrong, add the correction to its instructions
your first agent is ready when you can give it a topic instead of explaining the whole job again
asking claude to “write me a post” is the weakest way to use it
build one content agent with your best posts, video transcripts, audience questions and the words you never use
then use the same agent for research, video outlines, drafts and final review
it starts from your work instead of guessing your voice every time
the speed wasn’t the best thing about parallel agents
i tested it after posting this
three agents handled one research task at once and opening each result separately made the final answer much easier to check
chatgpt just stopped working alone
astra pro can now split one request across multiple agents and run them in parallel
research, analysis and production can all happen at the same time
GPT-6 Astra Pro in ChatGPT got an upgrade with faster responses and improved use of plugins and tools.
And now, multiple agents can tackle different parts of a task in parallel. You can follow each agent’s progress and open completed tasks to review their work.
Now available to Pro users in the Chat tab.
tesla fell 12% over the past year
but a dip-buying strategy tested by @StingrayFI returned 27% with 6 profitable trades
the idea was simple, buy below the lower bollinger band and sell on the rebound
you can test strategies like this just by sending a text
of course, 6 trades aren’t enough to prove it’ll work again
🤝 Paid partnership
