20 Best Has Content About Programming Agentic Applications Using Lar TikTok Influencers

✓ Why this creator matches:

The creator's bio states 'I’m the guy who builds the bots that will replace jobs', indicating a focus on creating automated agents. The source post explicitly discusses 'free AI APIs', 'Google Gemini', 'GPT 4', 'AI models', and 'Open Router' for 'unlimited API calls', which directly relates to programming and utilizing large language models. Pinned Post 2 also mentions 'AI Agent'. This content clearly aligns with programming agentic applications using LLMs.

✓ Why this creator matches:

The creator explicitly discusses 'El nuevo modo agente de GPT5' (The new agent mode of GPT5) and demonstrates its use to automate tasks like selling products online. This directly aligns with content about agentic applications using LLMs.

✓ Why this creator matches:

The source post explicitly mentions 'inteligencia artificial generativa' (generative artificial intelligence), 'desarrollar aplicaciones' (develop applications), 'Lark language models', 'embeddings', and 'RAG'. This directly indicates content about programming agentic applications using LLMs.

✓ Why this creator matches:

The creator's content, particularly the source post, discusses 'Generative AI class at Columbia,' 'post training techniques for language models,' and uses the hashtag #llm. Recent Post 12 also explicitly mentions 'training agents' and 'AI models can learn spatial temporal relationships' in the context of 'World Models,' which directly relates to agentic applications. While there's a strong robotics focus, the content clearly touches upon LLMs and agentic AI.

✓ Why this creator matches:

The creator's content frequently showcases and explains projects related to AI and LLMs. The source post explicitly discusses 'LLM Council,' a tool that sends questions to multiple LLMs, allows them to respond individually, and then critique and rank each other, which is a clear example of an agentic application. Other posts also cover AI tools, fine-tuning datasets for LLMs, and building AI apps with SDKs, demonstrating a consistent focus on LLM-powered applications.

✓ Why this creator matches:

The creator's content explicitly mentions and showcases 'Replit Agent 3' with the hashtag #agent3, which directly refers to an agentic application. The source post also mentions #chatgpt and #ai, indicating a focus on large language models and AI tools in a technical context.

✓ Why this creator matches:

The creator's content frequently mentions and demonstrates the use of large language models (LLMs) like Google Gemini 2.5, GPT-5, and Claude Sonnet for coding and building applications. Hashtags like #aiagent and discussions about 'gpt wrapper apps' and 'AI-assisted coding workflow' directly indicate content related to programming agentic applications using LLMs.

✓ Why this creator matches:

The source post explicitly discusses a tool that is '10 times stronger than ChatGPT Agent mode' and can 'read your screen and accomplish tasks,' which directly aligns with agentic applications using LLMs. Post 9 also mentions 'ai automations' and 'RAG systems (retrieval augmented generation),' which are relevant to programming with LLMs.

✓ Why this creator matches:

The creator's content, particularly the source post (Post 7) and Post 6, directly discusses 'AI coding agents' that handle complex programming tasks autonomously and 'AI App Builders' that create full-stack applications from plain English descriptions. This clearly aligns with programming agentic applications, which inherently involve large language models.

✓ Why this creator matches:

The creator explicitly discusses and demonstrates tools like 'Agent Builder from ChatGPT' for creating AI agents and automation. Pinned Post 1 also focuses on 'real AI agents' that perform tasks beyond simple text responses. Post 3 details building an 'AI accountant' system, which is an AI-powered application. Post 11 mentions an 'AI Agent' as a personal assistant. This consistently aligns with content about programming agentic applications using LLMs.

✓ Why this creator matches:

The creator's source post explicitly mentions finding a 'repo for LLM devs from R a G to voice agents' and discusses an 'AI blog to podcast agent' that users can 'clone' and 'run everything yourself'. Pinned Post 2 also instructs on how to 'turn on agent' within ChatGPT. This clearly indicates content related to programming or deploying agentic applications using LLMs.

✓ Why this creator matches:

The creator's content frequently discusses AI agents and building with AI. Pinned Post 3 explicitly states, "Build an AI agent with n8n in only a few minutes. Plus I explain what an AI agent actually is." Recent Post 4 also focuses on "building agents that do real work for you" using Aria. The creator consistently uses terms like "AI coding tools" and "building with AI" in their captions and transcripts, indicating a clear focus on programming AI-powered applications, including agentic ones.

✓ Why this creator matches:

The source post explicitly discusses implementing the OpenAI Text-to-Speech API into a Next.js framework, which is a direct application of LLMs. Additionally, recent posts mention '11 Labs UI, a collection of open source agents and audio components' and an 'AI powered email app' that can summarize and draft replies, all of which are strong indicators of content related to programming AI applications, likely using LLMs.

✓ Why this creator matches:

Pinned Post 2 explicitly discusses 'agent yang ada di Langchain' for handling CSV and dataframes, which directly relates to programming agentic applications using large language models. Other posts also discuss LLMs, NLP, and AI automation in a technical context.

✓ Why this creator matches:

The creator's content, including the source post and multiple recent posts, consistently focuses on building and selling 'AI receptionists' and 'AI automation' using 'ChatGBT' (ChatGPT). An 'AI receptionist' is a clear example of an agentic application, and ChatGPT is a large language model. The content directly addresses the programming and application of these technologies.

✓ Why this creator matches:

The source post explicitly states, "In this video I'm going to demonstrate how you can integrate a I into your spring boot project. We will start with the Assembly Spring Boot API. We already implemented one in our previous videos. You can enter my channel and check the" and the caption includes "INTEGRATING Open AI or any api into your spring boot project #java #programming #springboot #ai". This directly indicates content about integrating AI, specifically OpenAI (a large language model provider), into programming projects.

✓ Why this creator matches:

The creator's content includes a video demonstrating how 'OpenAI's ChatGPT creates an operating system', which involves programming an AI-powered application using an LLM. Another video discusses using Gradio to turn Python scripts into web apps with AI, indicating a focus on building AI applications.

✓ Why this creator matches:

The source post explicitly discusses 'auto GPT, which is the rise of AI agents' and describes how it creates prompts, builds task lists, and executes against them. Recent posts also mention building applications like a 'Crop Analyzer' and an 'AI Audit Committee Coach' using LLMs like Gemini 3, which are examples of agentic applications.

✓ Why this creator matches:

The creator's source post and several recent posts explicitly discuss 'AI Coding agents' and their impact on 'software engineering productivity,' using hashtags like #aicodingagents, #augmentcode, and #claudecode. AI coding agents are a direct form of agentic applications, and Claude is a large language model, indicating content directly related to programming agentic applications using LLMs.

✓ Why this creator matches:

The source post explicitly describes an 'AI project' that helps users 'run and build LLMs into your application and workflow' using tools like Hugging Faces and Olama. This directly aligns with having content about programming applications using LLMs.