🤖 AI tools, workflows & productivity 🚀 Tech • Business • Innovation contact : [email protected]
New York, USA
Joined June 2020
- Tweets4.5K
- Following105
- Followers157K
- Likes3.8K
Jacob Young | AI retweeted
Please interrupt my regularly scheduled overthinking: Oct 30 is the LAST DAY of CapCut PC Black Friday.
Up to 60% off Pro and 40% off Ultra. Desktop only. I do not need a committee meeting to grab this deal.
CapCut Black Friday Sale: tinyurl.com/2v23rn22
#capcutpc #capcutblackfriday
🤝 Paid partnership
Jacob Young | AI retweeted
Prediction markets get more interesting when they stick to things people actually want information on.
Elections and the economy make sense because you can compare market odds with polls, forecasts, and public data.
The useful part isn’t the gambling angle. It’s seeing where people are actually willing to put money behind their expectations.
Remember The Big Short scene where Margot Robbie explains mortgage bonds from a bubble bath?
Mortgage bonds started as a good, boring idea. Then Wall Street ran out of good loans, stuffed in bad ones, and the safe product blew up.
The same thing is happening to prediction markets
The original idea was good. People put money behind what they think will happen, and with enough people the price becomes the odds.
Then came sports and parlays. Sports were ~85% of June volume, and Bloomberg reported a net $294M in customer losses on parlays just this year.
Prediction markets on Aries stick to the original idea: elections, the economy, etc. No gambling slop.
Jacob Young | AI retweeted
The first customer support number in a search result isn't necessarily the company's.
Scammers can plant convincing help pages and phone numbers right where you're looking for answers.
Here's how to find real support without handing your account to a stranger:
Jacob Young | AI retweeted
The client cuts the budget in half. Your AI team invents a cheaper quote to make it fit. Would you catch it? 👀
I tested Teamily AI @Teamily_AI with a real-world project scenario:
📌 One landing page, 3 social posts, and a project plan.
💰 Budget: $2,000
⏳ Deadline: 10 days
Four specialist AI agents collaborated in one chat through a saved Loop.
🔍 Research flagged a critical issue: the enquiry form had no submission destination.
📋 Planning used that finding to scope the work.
⚠️ Review caught a scheduling conflict between Day 8 publishing and Day 9 approval.
💻 Webpage Developer turned the plan into a live project dashboard using Teamily Website Builder.
Then I changed one requirement:
“The budget is now $1,000. Day 10 stays.”
I reran the saved Loop. The updated brief flowed through the team without repeatedly prompting every agent.
But there was a problem.
The team proposed a $750 “trimmed” page. Our fixed estimate was $900. That lower price had never been approved.
I challenged it. The Review agent rejected the unsupported quote and sent the correction back to the developer.
The final dashboard exposed the real situation:
$1,600 in core work
$1,000 available
$600 budget gap
Instead of pretending everything could fit, the workflow made the trade-offs visible.
And I took it further.
Inside Open Studio, I used a comment to ask the developer to make the budget gap and available options clearer at the top of the page. The developer refined the dashboard, and I could review the before-and-after result in the same workflow.
That’s the difference between generating AI outputs and coordinating AI agents around a shared project.
✅ Multiple agents collaborating in one chat
✅ Saved workflows that adapt when requirements change
✅ Review that challenges unsupported assumptions
✅ Website editing through Open Studio
✅ Clearer decisions without rebuilding everything from scratch
The real value of AI isn't making every answer look perfect. It's making problems, costs, and decisions impossible to ignore.
The finished dashboard was built with Teamily Website Builder.
🔗 Explore the dashboard and compare the budget options: teamily.ai/link/Wk-BaNlHnj4
🚀 Put your next project through the same test: teamily.ai/i/DQQ2VR
#Ad #AI #AIAgents #AITools #WebsiteBuilder #Automation
Jacob Young | AI retweeted
ELEVENLABS IS F*CKED.
i'm not exaggerating. GitHub just ended the paid voice AI business.
2 devs dropped VoiceStudio. 100% free. runs on YOUR machine.
and in 6 months it hit 94,000 stars and #1 Repository Of The Day.
look at what you get for $0:
→ clone a voice from ONE clean clip
→ dub any video in 646 languages
→ type "middle-aged british narrator, low pitch" → it builds the voice
→ full audiobooks, dictation, transcription
→ mac, windows, linux, android, iphone
no cloud. no credits. no monthly bill. no GPU.
you are paying a subscription for something a free repo does on your laptop.
read that again.
every creator still paying for voice AI in 2026 is getting milked.
bookmark this NOW. send it to the one friend who keeps paying
link in the comments 👇
Jacob Young | AI retweeted
I'm a one-person account. My org chart got a second box anyway.
I test AI tools and turn them into tutorials. Every tutorial has numbers in it, and for a long time the person checking them was me, at midnight, tired.
So the org chart looks like this now.
Me: testing, recording, writing.
Viktor, my AI employee in Slack: everything that has to be true before a post goes out.
Fact-check: the first night, he looked for a source on all 26 numbers in 3 threads. 4 flagged with no source, 2 quoted wrong.
Morning desk: his notes in Slack by 8:30, every day. Around 10 errors a week caught before I publish.
Archive: when an app I'd covered shipped an update, he flagged my 3 old posts about it and drafted a correction for each. Nobody asked.
That's about 7 hours a week back, and every call is still mine. He changes nothing in a thread. I cut or keep.
A one-person account still needs a fact-checker. Mine is on the org chart now.
Hire @viktor_com for your team. Start free.
#AIemployee #AItools
Paid Partnership
🤝 Paid partnership
Jacob Young | AI retweeted
Downloading videos just got much simpler. 👀
Meet Cobalt, an open-source GitHub project with 42K+ stars.
Simply copy a link from YouTube, TikTok, Instagram, Reddit, or other supported platforms, paste it into Cobalt, and download your video.
No annoying ads. No complicated steps. Just a simple, clean experience.
Check out the repo below 👇
Save this for later and follow @liam_turner_ai for more AI tools and useful tech finds.
Jacob Young | AI retweeted
This is the direction AI creative tools should be heading.
Watch the animation.
Now imagine being able to change one detail without losing the rest of it.
That’s one of the ideas behind Magnific Move.
An AI agent that creates motion graphics and lets you refine them through conversation.
#MagnificMove
Jacob Young | AI retweeted
I launched a Grok Bot terminal overnight with $44.82 and stopped asking it what to do.
By morning: $11,643.21.
Six agents ran the whole thing. No code from me. Just a description of what I wanted, and it built the terminal, the agents, and the dashboard.
The six agents:
- Scanner = finds new pairs and volume spikes
- Rug check = filters junk before anything touches the market
- Sizer = sizes positions off equity, not fixed tickets
- Executor = opens and closes with slippage tracked
- Logger = writes the reason for every single trade
- Equity curve = updates on every close
I went to sleep on $44.82 with the laptop open. Woke up to $11,643.21. Every trade on the feed had a reason next to it.
That’s the real shift. I stopped asking “would you long this?” and started reading the log of what already happened.
Full build below ↓
Jacob Young | AI retweeted
What if this was built entirely with AI? 🚀
From cinematic spaceships to insane sci-fi details, the future of AI video generation is getting wild.
Jacob Young | AI retweeted
Hosting a Halloween party Saturday and the invite is a recast transition of me opening the door as a vampire.
Jacob Young | AI retweeted
Voice agents before Cartesia Managed Agents:
Me: “I have one question.”
Agent: *continues its 3-minute monologue* 💀
Voice agents now:
Me: “Wait, actually—”
Agent: *stops talking and listens*
Built-in turn detection. No extra turn-taking model.
Go interrupt your agent: play.cartesia.ai/
Introducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise.
#1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system.
Check it out → cartesia.ai/blog/managed-age…
Jacob Young | AI retweeted
The agent can make actual phone calls AND use tools? Sign me up
Introducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise.
#1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system.
Check it out → cartesia.ai/blog/managed-age…
Jacob Young | AI retweeted
🚨 Why Pay MORE for AI VIDEOS?
I created a cinematic promotional video for my own brand, AI PlanetX, using Seedance 2.5 on Pippit AI 👇
Try it Now: pippit.tryit.cc/8NEnaqb
- Cinematic AI visuals
- Professional-looking scenes
- An AI avatar presenting my platform
- A branded video showcasing AIPlanetX’s features
One brand. One AI workflow. A polished promotional video.
Want to create cinematic AI videos for your own brand?
Comment “Pippit” and I’ll send you the prompt!
@pippitofficial
#Pippit #Seedance25 #PippitAI #Seedance #MarketingStudio #Aifilm
Jacob Young | AI retweeted
The next wave of millionaires won't be:
- YouTubers
- Stock Traders
- Real Estate Investors
The next wave of millionaires will be:
Jacob Young | AI retweeted
Prompt engineers make $120k-$300k yearly.
That's why I built "1000+ GPT-4 Prompts":
• 1000+Prompts
• 5000+AI Tools
• Tips, Tricks, Techniques & more.
And for 24 hours, it's 100% FREE!
To get it, just:
1: Follow me (so that I can DM)
2: Like and repost.
3. Reply "prompts"
Jacob Young | AI retweeted
This Claude 5.1-powered bot reportedly made $78,083 in just 5 days.
The interesting part?
It wasn’t built to be smarter.
It was built to be faster.
$7 → $3,595
$30 → $11,063
$142 → $13,356
$1,205 → $37,939
I found the wallet 3 days ago.
So I spent the next 48 hours reverse-engineering its trades.
And the strategy was surprisingly simple:
→ Watch BTC price
→ Compare it with Polymarket odds
→ Detect the mismatch
→ Enter quickly
→ Exit when the pricing converges
→ Repeat
No complicated chart analysis.
No endless decision-making.
Just a tight feedback loop running again and again.
While humans were analyzing the market,
the bot was already executing.
While traders were waiting for confirmation,
the bot was already positioned.
And while most people were sleeping,
the system kept running.
That’s the real lesson here:
The edge wasn’t prediction.
It was speed + execution + repetition.
Most traders try to be right.
This system appears to focus on being fast enough to capture small inefficiencies repeatedly.
$78K in 5 days is the headline.
But the underlying mechanism is what caught my attention.
I broke down the entire approach —
including the logic, workflow, and what makes this setup interesting.
I’m giving the full breakdown FREE for the next 24 hours.
Want it?
1. Comment “CLAUDE 5.1”
2. Like + Repost
3. Follow @mostofakamal00
I’ll share the article with those who want the full breakdown. FREE 🎉
Not financial advice. The reported results are not a guarantee of future performance.
Jacob Young | AI retweeted
The hardest part of building a voice agent isn’t making it talk.
It’s what happens when you interrupt it. When it needs to listen, understand, and respond without the whole conversation falling apart.
That’s the part I’d test first with @Cartesia Managed Agents.
You can choose your LLM and voice, add knowledge or tools, and test the agent right in the Playground. Cartesia handles the speech and runtime pieces behind the conversation.
No need to stitch the whole voice stack together yourself.
Try interrupting your agent mid-sentence 👇
play.cartesia.ai/
Introducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise.
#1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system.
Check it out → cartesia.ai/blog/managed-age…