Tyler

@tyler_agg • 11,336 subscribers

ai/ml engineer. youngest to get a phd in biostats from ucsd.

Shorts

I built an AI system that scrapes high-performing tweets in your niche and uses them to write tweets in your exact style... here’s how it works: – scrapes Twitter for top-performing posts and tracks engagement – uses AI to extract the hooks and categorize them by topic – generates new tweets using those proven hooks, written in your style, tone, vocabulary, and structure – stores everything in a database so you always have high-performing ideas to pull from if you want the full walkthrough, reply “viral” and I’ll DM it to you (must be following)

I built an AI system that scrapes high-performing tweets in your niche and uses them to write tweets in your exact style... here’s how it works: – scrapes Twitter for top-performing posts and tracks engagement – uses AI to extract the hooks and categorize them by topic – generates new tweets using those proven hooks, written in your style, tone, vocabulary, and structure – stores everything in a database so you always have high-performing ideas to pull from if you want the full walkthrough, reply “viral” and I’ll DM it to you (must be following)

62,932 views

most AI chatbots break when you ask a question that requires info from multiple sources for example try asking: “which client contracts are finishing up this month?” you’ll get a half-answer — or none at all why? because traditional chatbots only look at small snippets of your docs - they don’t understand how things connect across clients, services, timelines that’s where knowledge graphs come in they let you turn messy contracts into a web of relationships — like: "Client → Contract Type → Service Provided → End Date" so instead of guessing from a few chunks of text, your chatbot can search across all your clients and contracts to give accurate answers I made a full walkthrough on how I built this: – how to organize your contracts so an AI can actually use them – how to define what matters (like who signed what, and when) – how to get the AI to figure out what info it needs and where to find it – and how to feed that back into your chatbot so it gives accurate answers reply “graph” and I’ll DM it to you (must be following)

most AI chatbots break when you ask a question that requires info from multiple sources for example try asking: “which client contracts are finishing up this month?” you’ll get a half-answer — or none at all why? because traditional chatbots only look at small snippets of your docs - they don’t understand how things connect across clients, services, timelines that’s where knowledge graphs come in they let you turn messy contracts into a web of relationships — like: "Client → Contract Type → Service Provided → End Date" so instead of guessing from a few chunks of text, your chatbot can search across all your clients and contracts to give accurate answers I made a full walkthrough on how I built this: – how to organize your contracts so an AI can actually use them – how to define what matters (like who signed what, and when) – how to get the AI to figure out what info it needs and where to find it – and how to feed that back into your chatbot so it gives accurate answers reply “graph” and I’ll DM it to you (must be following)

24,957 views

I just made a full walkthrough that makes it easy to write prompts for GPT and Claude that consistently get better results inside, you’ll get: – a simple structure that works across any use case – what context to include to get sharper answers – ways to make outputs sound personal and not robotic – easy techniques to avoid hallucinations and bad outputs comment “prompt” and I’ll DM you the full guide (must be following)

I just made a full walkthrough that makes it easy to write prompts for GPT and Claude that consistently get better results inside, you’ll get: – a simple structure that works across any use case – what context to include to get sharper answers – ways to make outputs sound personal and not robotic – easy techniques to avoid hallucinations and bad outputs comment “prompt” and I’ll DM you the full guide (must be following)

10,522 views

Videos

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I just trained a custom GPT that turns any idea into a Nano Banana JSON prompt just describe the picture you want and it will: – plan the photo like a creative director – offer pro-level suggestions – write the entire JSON prompt for you all you have to do is copy and paste the JSON and you'll get images that look like a creative director made it comment "nano" and I'll DM it to you (must be following)

I just trained a custom GPT that turns any idea into a Nano Banana JSON prompt just describe the picture you want and it will: – plan the photo like a creative director – offer pro-level suggestions – write the entire JSON prompt for you all you have to do is copy and paste the JSON and you'll get images that look like a creative director made it comment "nano" and I'll DM it to you (must be following)

269,351 views • 8 months ago

This JSON file turns GPT into your personal Senior AI Developer... Just upload it as context, describe your project, and watch it: – Plan the build – Design smarter workflows – Write production-quality code – Offer senior-level suggestions Comment “code” and I’ll DM you the full profile.

192,463 views • 11 months ago

I just made a full walkthrough on how to train GPT or Claude to be a high-level ghostwriter (without any code or tools) it is designed to write like you - not like AI – it learns your writing style, tone, vocabulary, and tweet structure – mimics how you phrase things so it reads like you wrote it – and most importantly, no setup headaches or weird prompts that sound robotic if you want the full guide, reply “content” and I’ll DM it to you (must be following)

I just made a full walkthrough on how to train GPT or Claude to be a high-level ghostwriter (without any code or tools) it is designed to write like you - not like AI – it learns your writing style, tone, vocabulary, and tweet structure – mimics how you phrase things so it reads like you wrote it – and most importantly, no setup headaches or weird prompts that sound robotic if you want the full guide, reply “content” and I’ll DM it to you (must be following)

111,287 views • 11 months ago

I just built an AI agent that notifies you in real time when your competitors launch new Facebook ads when it triggers, it: - pulls the creative and script - summarizes the hook, characters and the script - spots trends from past launches to show what’s working then it emails you a google doc with tailored hook ideas and ad angles personalized to your product comment “spy” and I’ll DM you the walkthrough (must be following)

I just built an AI agent that notifies you in real time when your competitors launch new Facebook ads when it triggers, it: - pulls the creative and script - summarizes the hook, characters and the script - spots trends from past launches to show what’s working then it emails you a google doc with tailored hook ideas and ad angles personalized to your product comment “spy” and I’ll DM you the walkthrough (must be following)

81,727 views • 8 months ago

the best way to make your product photos stand out on your website is to turn them into animations... that's why I just built an AI system that takes any product image and makes it look like a professional product video here’s what it can do: – animate still photos so they feel alive – keep the product consistent + realistic – generate multiple variations you can use across your store and socials once it’s built, you can: – make your product pages look premium without hiring a video team – catch more attention than static images ever could – have unlimited product videos ready in minutes comment “video” and I’ll DM you the walkthrough (must be following)

the best way to make your product photos stand out on your website is to turn them into animations... that's why I just built an AI system that takes any product image and makes it look like a professional product video here’s what it can do: – animate still photos so they feel alive – keep the product consistent + realistic – generate multiple variations you can use across your store and socials once it’s built, you can: – make your product pages look premium without hiring a video team – catch more attention than static images ever could – have unlimited product videos ready in minutes comment “video” and I’ll DM you the walkthrough (must be following)

65,765 views • 7 months ago

everybody talks about building AI chatbots, but nobody tells you HOW to do it that's why I made a full practical walkthrough on how to build an AI chatbot that's hooked up to your own custom knowledgebase inside of the walk-through i go over: – data collection: gathering all relevant documents, conversations, and info - preprocessing: cleaning up and formatting the collected data - chunking: break down the cleaned data into smaller, manageable pieces - embedding & storing in a vector database - RAG & chatbot integration: using RAG to allow the chatbot to retrieve relevant information from the vector database based on a user's question reply to this tweet w/ the word “RAG” & I’ll send it to you (must be following so I can DM)

everybody talks about building AI chatbots, but nobody tells you HOW to do it that's why I made a full practical walkthrough on how to build an AI chatbot that's hooked up to your own custom knowledgebase inside of the walk-through i go over: – data collection: gathering all relevant documents, conversations, and info - preprocessing: cleaning up and formatting the collected data - chunking: break down the cleaned data into smaller, manageable pieces - embedding & storing in a vector database - RAG & chatbot integration: using RAG to allow the chatbot to retrieve relevant information from the vector database based on a user's question reply to this tweet w/ the word “RAG” & I’ll send it to you (must be following so I can DM)

83,463 views • 1 year ago

the best way to pump out content, is to build a video content library you can pull ideas from that's why I just made a walkthrough on how to build an AI-powered video content library here’s what it can do: – scrape + store marketing videos (TikTok, Reels, YouTube, FB ads, etc) – extract hooks from both visuals and transcripts – summarize the full video (background, characters, visuals, dialogue) in clean, structured database – log engagement metrics alongside each video once it’s built, you can: – steal proven hooks from top-performing videos in your niche – instantly repurpose ad angles without watching hours of content – generate fresh ideas tailored to your brand, on demand reply “video” and I’ll DM you the walkthrough (must be following)

54,364 views • 8 months ago

there's a lot of content around AI agents but no one is showing you how to actually design them to work reliably that's why I made a full walkthrough breaking down how I think through agent design, using a contract chatbot as an example... inside, I cover: – why I prefer static workflows over free-roaming agents – how I use multiple choice prompts to control next steps – the exact guardrails I use to avoid hallucinations – how the agent answers legal questions and structures outputs into Supabase if you want to see how I actually build agents that don’t break like + reply “agent” and I’ll DM it to you (must be following)

there's a lot of content around AI agents but no one is showing you how to actually design them to work reliably that's why I made a full walkthrough breaking down how I think through agent design, using a contract chatbot as an example... inside, I cover: – why I prefer static workflows over free-roaming agents – how I use multiple choice prompts to control next steps – the exact guardrails I use to avoid hallucinations – how the agent answers legal questions and structures outputs into Supabase if you want to see how I actually build agents that don’t break like + reply “agent” and I’ll DM it to you (must be following)

50,556 views • 1 year ago

the best way to create winning ads, is to build an ads library you can pull proven ideas from I just made a walkthrough on how to build an AI-powered FB ads library here’s what it can do: – scrape + store thousands of ads - categorize them by niche, video/image, etc – extract hooks from both visuals and transcripts – summarize the creative (background, characters, visuals, dialogue) in a clean, structured database once it’s built, you can: – steal proven hooks from top-performing ads – instantly repurpose ad angles without watching hours of content – generate brand-new creative ideas tailored to your product reply “ads” and I’ll DM you the walkthrough (must be following)

34,231 views • 8 months ago

I just made a full walkthrough on how I built an AI chatbot trained on someone’s YouTube videos so it can answer questions about what they teach (I built one on Ryan Clogg's video catalog) inside, I show: – how I collect and organize the video content – build the knowledge base so it gives accurate answers – set the rules for how it responds – setting up guardrails so it doesn’t go off-topic or give wrong answers – testing and improving it so it keeps getting better if you want the walkthrough, comment “YT” and I’ll DM you the full guide (must be following)

I just made a full walkthrough on how I built an AI chatbot trained on someone’s YouTube videos so it can answer questions about what they teach (I built one on Ryan Clogg's video catalog) inside, I show: – how I collect and organize the video content – build the knowledge base so it gives accurate answers – set the rules for how it responds – setting up guardrails so it doesn’t go off-topic or give wrong answers – testing and improving it so it keeps getting better if you want the walkthrough, comment “YT” and I’ll DM you the full guide (must be following)

41,151 views • 10 months ago

I just built a plug-and-play AI system that turns Reddit into your personal customer research assistant - feeding you ad angles, pain points, trends, and emotional hooks on autopilot here’s what it does: – pulls exact phrases your market uses (ready for ads & copy) – spots trends before your competitors – uncovers hidden objections & desires you can exploit - builds a constantly updating knowledge base based off the scraped posts all in a single view you can scan in under a minute comment “reddit” and I’ll DM you the walkthrough (must be following)

I just built a plug-and-play AI system that turns Reddit into your personal customer research assistant - feeding you ad angles, pain points, trends, and emotional hooks on autopilot here’s what it does: – pulls exact phrases your market uses (ready for ads & copy) – spots trends before your competitors – uncovers hidden objections & desires you can exploit - builds a constantly updating knowledge base based off the scraped posts all in a single view you can scan in under a minute comment “reddit” and I’ll DM you the walkthrough (must be following)

34,830 views • 9 months ago

I just built an AI ghostwriter that writes threads just like you (and doesn't sound like it was written by AI) just give it a headline + context and watch it: – learn your writing style, tone, vocabulary, and thread structure – write the entire thread just how you would write it – generate 5 viral hook variations to choose from reply "thread" and I'll DM you the walkthrough (must be following)

I just built an AI ghostwriter that writes threads just like you (and doesn't sound like it was written by AI) just give it a headline + context and watch it: – learn your writing style, tone, vocabulary, and thread structure – write the entire thread just how you would write it – generate 5 viral hook variations to choose from reply "thread" and I'll DM you the walkthrough (must be following)

28,100 views • 9 months ago

I built a simple internal chatbot that answers your team's SOPs and FAQs using your existing Google Drive docs in the walkthrough, I show: – how it finds the right doc for any question – how your team can “@” specific files (like in Slack) – how to set it up and share it with your team in minutes reply “chatbot” and I’ll send the full video + code (must be following)

I built a simple internal chatbot that answers your team's SOPs and FAQs using your existing Google Drive docs in the walkthrough, I show: – how it finds the right doc for any question – how your team can “@” specific files (like in Slack) – how to set it up and share it with your team in minutes reply “chatbot” and I’ll send the full video + code (must be following)

27,250 views • 11 months ago

I built an AI Slack agent that monitors channels in real-time it flags: – angry or urgent messages that need your attention – positive feedback you can turn into testimonials – client questions that go unanswered for 30+ min – and sends you a daily summary so nothing slips through reply “monitor” and I’ll DM you a full walkthrough of how you can create it yourself (must be following)

I built an AI Slack agent that monitors channels in real-time it flags: – angry or urgent messages that need your attention – positive feedback you can turn into testimonials – client questions that go unanswered for 30+ min – and sends you a daily summary so nothing slips through reply “monitor” and I’ll DM you a full walkthrough of how you can create it yourself (must be following)

25,219 views • 11 months ago

I just made a walkthrough on how to turn any video library into a searchable, chat-ready AI tutor it can: – find answers instantly without scrubbing through hours of video – show you the exact video & timestamp the answer came from – understand what’s happening on-screen visually, not just the audio reply “video” and I’ll DM you the walkthrough (must be following)

I just made a walkthrough on how to turn any video library into a searchable, chat-ready AI tutor it can: – find answers instantly without scrubbing through hours of video – show you the exact video & timestamp the answer came from – understand what’s happening on-screen visually, not just the audio reply “video” and I’ll DM you the walkthrough (must be following)

21,380 views • 9 months ago

I just made a full walkthrough on how to build an AI quiz funnel that qualifies leads, collects data, and recommends offers (automatically) most people use chatbots as an interactive FAQ replacement but you can also use them to ask questions and guide users to a buying decision in the form of a quiz funnel reply “quiz” and I’ll send you a full walkthrough on how to build it (must be following)

I just made a full walkthrough on how to build an AI quiz funnel that qualifies leads, collects data, and recommends offers (automatically) most people use chatbots as an interactive FAQ replacement but you can also use them to ask questions and guide users to a buying decision in the form of a quiz funnel reply “quiz” and I’ll send you a full walkthrough on how to build it (must be following)

25,214 views • 1 year ago

you might've heard about context engineering, but nobody has explained what it really is... that's why I made a full practical walkthrough on how to use it to make your AI outputs personalized and consistent in this walkthrough, I go over: – what context engineering actually is (without the jargon) – how to train AI on your own data and preferences – how to get outputs that sound like you wrote them (not generic AI) reply "context" and I'll DM it to you (must be following)

you might've heard about context engineering, but nobody has explained what it really is... that's why I made a full practical walkthrough on how to use it to make your AI outputs personalized and consistent in this walkthrough, I go over: – what context engineering actually is (without the jargon) – how to train AI on your own data and preferences – how to get outputs that sound like you wrote them (not generic AI) reply "context" and I'll DM it to you (must be following)

20,001 views • 9 months ago

I just built an AI ghostwriter that is designed to mimic your unique voice (and no it won’t sound like an AI wrote it) here’s how it works: - you give it a tweet request - using NLP we finds similar tweets that you have previously posted about the same topic - the AI learns the topic, your content structure, your vocabulary, everything - we returns a tweet in the same fashion as if you wrote it yourself I recorded a walkthrough on how to build this yourself (including the code). reply to this tweet w/ the word “content” & I’ll send it to you (must be following so I can DM)

I just built an AI ghostwriter that is designed to mimic your unique voice (and no it won’t sound like an AI wrote it) here’s how it works: - you give it a tweet request - using NLP we finds similar tweets that you have previously posted about the same topic - the AI learns the topic, your content structure, your vocabulary, everything - we returns a tweet in the same fashion as if you wrote it yourself I recorded a walkthrough on how to build this yourself (including the code). reply to this tweet w/ the word “content” & I’ll send it to you (must be following so I can DM)

23,931 views • 1 year ago

I just made an AI system that analyzes your content and turns GPT into your personal audience research assistant just add your content history, and it'll: – analyze what resonates most with your audience – compare viral vs. non-viral content – spot trends, hooks, and angles that work – give feedback on any new post before you publish comment “audience” and I’ll DM you the full guide (must be following)

I just made an AI system that analyzes your content and turns GPT into your personal audience research assistant just add your content history, and it'll: – analyze what resonates most with your audience – compare viral vs. non-viral content – spot trends, hooks, and angles that work – give feedback on any new post before you publish comment “audience” and I’ll DM you the full guide (must be following)

19,536 views • 9 months ago

everybody talks about building AI automations but no one talks about how to evaluate if they’re actually working — especially at scale that’s why I put together a practical walkthrough on how to track AI performance in real-time using live dashboards inside, I cover: - context relevance: is the AI actually using what we give it? - gap detection: where your knowledge base is falling short - tracking: how to log and monitor outputs across any AI system - hallucination checks: flagging when the model starts making stuff up reply “track” and I’ll send it to you (must be following so I can DM)

everybody talks about building AI automations but no one talks about how to evaluate if they’re actually working — especially at scale that’s why I put together a practical walkthrough on how to track AI performance in real-time using live dashboards inside, I cover: - context relevance: is the AI actually using what we give it? - gap detection: where your knowledge base is falling short - tracking: how to log and monitor outputs across any AI system - hallucination checks: flagging when the model starts making stuff up reply “track” and I’ll send it to you (must be following so I can DM)

21,618 views • 1 year ago