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Lily Morgan Ai
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Lily Morgan Ai
@moniseraphina
Ai isn’t the future, it’s the present. ⚡ 📌 AI • ML • Tech Content 🎤 Breaking down complex ideas into simple threads 🚀 Building + Sharing daily
California, USA Katılım Temmuz 2025
4 Takip Edilen48 Takipçiler
Lily Morgan Ai retweetledi

🚀 120 AI Tools That Can Replace 10+ Apps & Save You Hours Every Day
🎨 𝐃𝐞𝐬𝐢𝐠𝐧
• AutoDraw
• Draw3D
• Genie for Figma
• Uizard
• Visily
• Khroma
• Galileo AI
• Clipdrop
• Designs.ai
🎧 𝐀𝐮𝐝𝐢𝐨
• Sofiya AI
• Voxwave AI
• Audyo
• Murf AI
• ElevenLabs
• Descript
🎬 𝐕𝐢𝐝𝐞𝐨
• Papercut
• Shuffll AI
• Centropo
• Pictory
• HeyGen
• Synthesia
• Runway ML
• Decohere
✍️ 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 & 𝐂𝐨𝐧𝐭𝐞𝐧𝐭
• ChatGPT
• Claude
• Jasper
• Copy.ai
• Writesonic
• Rytr
• Notion AI
• GrammarlyGO
🧠 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲
• Monica AI
• Cody AI
• PixieBrix
• ClickUp AI
• Motion
• Taskade
• Reclaim AI
• Fireflies AI
• Otter AI
💻 𝐂𝐨𝐝𝐞
• Codeium
• Tabnine
• GitHub Copilot
• Code Reviewer AI
• Replit AI
• Cursor AI
🌐 𝐖𝐞𝐛𝐬𝐢𝐭𝐞𝐬 & 𝐁𝐮𝐢𝐥𝐝𝐞𝐫𝐬
• Dora AI
• Framer AI
• Durable AI
• 10Web
• Wegic
• Webflow AI
📊 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 & 𝐆𝐫𝐨𝐰𝐭𝐡
• AdCreative AI
• Predis AI
• Copy AI (Marketing)
• Metricool
• Typefully
• TweetHunter
• Jasper Marketing AI
• Howler AI
🤖 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬 & 𝐂𝐫𝐞𝐚𝐭𝐢𝐯𝐞
• ChatGPT
• Claude
• Gemini
• Perplexity
• Luma AI
• Leonardo AI
• Sora (OpenAI)
🧑💼 𝐌𝐞𝐞𝐭𝐢𝐧𝐠𝐬 & 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧
• Tldv
• Krisp AI
• Avoma
• Fireflies AI
• Otter AI
⚙️ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
• Bardeen AI
• Zapier AI
• Make (Integromat AI)
• Outreach AI
• Drift AI
👤 Follow @JayBisen473370 for more AI tools that actually make you money & save time.

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Lily Morgan Ai retweetledi

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
Vikas gupta@vicky_grok
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Lily Morgan Ai retweetledi

Most teams don't have a code generation problem anymore.
They have a confidence problem.
AI can write the code.
CI can run the tests.
PR reviewers can approve the changes.
And bugs still reach production.
TestSprite approaches validation from a different angle.
Instead of reviewing diffs, it interacts with the actual application, discovers workflows, executes tests, and surfaces issues based on observed behavior.
The new TestSprite 3.0 portal makes the entire process visible, inspectable, and much easier to trust.
That's a direction more engineering teams are likely to move toward.
🌐 Learn more : testsprite.com

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Lily Morgan Ai retweetledi

Sometimes I wonder how many hours of human life disappear into recommendation loops every single day.
Not because people are lazy.
Because modern algorithms are incredibly sophisticated at understanding behavioral psychology.
📌Tiny dopamine cycles.
📌Micro-curiosity triggers.
📌Continuous novelty.
All carefully optimized. The result?
You stay engaged without ever feeling complete.
That’s why I think the next evolution of AI shouldn’t just focus on personalization.
It should focus on intentionality.
Helping users discover things that create actual value instead of infinite stimulation.
That’s the kind of idea I want to see more often:collective-info.com/login
The most ethical recommendation system might be the one that gives your time back.


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Lily Morgan Ai retweetledi

🚀 Top 9 AI Tools for Automated Online Income
🤖ManyChat→Auto DMs
⚡Zapier AI→Workflow automation
✍️Copy.ai→Content creation
💸Gumroad→Sell digital products
🌐Durable_AI websites
Work less. Automate more.Earn smarter
Reply"AI"
Follow me I'll send your DM✅

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Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi

Want to create a consistent AI Influencer Vlog?
Stop wrestling with random motions and bad transitions.
➡️ AI Model → First Frame → Guide Image → Prompt → Video
Try it now for FREE: mega.apob.ai/Harsh-Pawar
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Lily Morgan Ai retweetledi

Lily Morgan Ai retweetledi

A former quant trader shared a simple idea that changed how I think about prediction markets:
The goal isn't to predict the future.
The goal is to find situations where the market's price doesn't match the available information.
That's how many professional trading desks approach opportunities.
I took that concept, combined it with Claude and several open-source tools, and built an AI-powered scanner that monitors hundreds of prediction markets around the clock.
Instead of chasing headlines, it looks for contracts where the implied market probability appears significantly different from the probability suggested by data, news flow, and historical patterns.
A few examples it flagged:
• ETH upgrade-related markets trading below estimated odds
• SOL price target markets showing large probability gaps
• Weather and hurricane contracts with outdated pricing
• Commodity markets lagging behind new data
Over the last few months, the system has helped me identify opportunities I would have never found manually.
Current stack:
• Claude
• Low-cost VPS
• Open-source libraries
• Automated monitoring running 24/7
What surprised me most is that the underlying concept isn't complicated.
The biggest advantage isn't predicting better than everyone else.
It's being able to scan far more information, far faster than any human can.
AI is making workflows that were once available only to large firms accessible to independent traders.
I put together the full setup and workflow here:
👉 t.me/KreoPolyBot?st…
What do you think — will AI become the standard toolkit for prediction market traders over the next few years?
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Lily Morgan Ai retweetledi

Most people saw the Claude 4.8 announcement.
That’s just the headline.
The real story is what actually changed and why it matters in real workflows.
So I used @GammaApp to break it down into a clean visual explainer anyone can follow in seconds.
No hype. Just the upgrades, the impact, and what stands out beyond the launch.
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Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi
Lily Morgan Ai retweetledi

My Boyfriend asked why I was smiling at 4 AM.
Showed him the terminal.
What are all those green numbers?
$1,129. Made while she slept.
Doing what?
Nothing. Claude scanned 14,000 wallets, found 47 that never lose, built a bot that copies them.
She watched for 10 seconds:
+$3.87 captured
+$6.42 captured
+$12.71 captured
It just keeps going?
Every few seconds. New line. New money.
How much did you start with?
$300. Now $1,429. Eleven hours. Asleep.
What does it do?
Buys at $0.48. Sells at $0.52. Pockets $0.04. Who wins doesn't matter.
That's legal?
Citadel does this on NYSE daily. 400 engineers. I have one screen.
She looked at the P&L curve. Never dips. Just climbs.
Can you make me one?
Setting hers up now.
She still doesn't get how it works.
The bot doesn't care.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word "Claude"
2. Like and Retweet this post
3. Follow me @learnwithella (so i can DM you)
Save this post. Deploy the bot this weekend. Start with $300. Scale on evidence.
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Lily Morgan Ai retweetledi

Her Apple Watch battery dropped to 78% after just one year.
She wore it daily. She charged it overnight. She used it like every other Apple Watch owner she knew.
Yet her battery had degraded faster in 12 months than her iPhone had in 3 years.
She took it to the Genius Bar, expecting them to confirm it was defective.
The technician ran every diagnostic.
"Your watch isn't broken. It's just been running 24 hours a day doing things it doesn't need to do. There are 4 default settings on every Apple Watch that hammer the battery overnight. Apple knows. They've known since the first Series 1 launched. They don't change the defaults."
She asked why.
He gave the same answer Apple Store employees have learned to give silence.
Then he opened the Watch app on her iPhone and walked her through everything.
Here's what he showed her. 🧵
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