20 Best Has Content About Programming Agentic Applications Using Lar 1 TikTok Influencers

✓ Why this creator matches:

The creator's content focuses on demonstrating how to *use* existing AI tools like ChatGPT, Meta AI, Narravox AI, and Grok AI for YouTube automation. There is no evidence of content related to *programming* agentic applications or developing LLMs from a coding or technical development perspective. The guides are for leveraging these tools as an end-user, not for building them.

✓ Why this creator matches:

The creator's content frequently mentions #ai, #ollama (a platform for running LLMs locally), #python, and discusses 'downloading models,' 'AI developers,' 'chatbots,' and 'using AI with Python Django.' The transcript for Post 1 talks about downloading models and getting models from 'Hajang' (likely Hugging Face), and Post 3 discusses building applications that 'deal with data' and 'dictate data' using AI, which aligns with programming AI-powered applications, including those using LLMs. While the term 'agentic' isn't explicitly used, the focus on building applications with AI models and LLMs strongly suggests relevance.

✓ Why this creator matches:

The source post explicitly discusses 'AI agents' and differentiates them from 'ChatGPT (LLM)', stating 'AI agents, they are like interns that actually get stuff done.' This directly addresses agentic applications and LLMs.

✓ Why this creator matches:

The creator's content explicitly discusses 'building an AI powered app' and mentions an 'AI agent' that 'will think for a second and then get to buildi'. While 'LLMs' are not explicitly named, the concept of an 'AI agent' in the context of building AI applications strongly implies the use of large language models for agentic functionalities, even in a no-code environment.

✓ Why this creator matches:

The creator's content frequently discusses building 'AI agents' and 'AI-powered applications' using tools like Google Workspace Studio and Gemini 3. Examples include 'Google now lets you build AI agents directly in your email' and 'You can now build AI agents directly in your Gmail'. While some methods might be no-code/low-code, the core focus is on creating agentic applications with LLMs.

✓ Why this creator matches:

The source post explicitly discusses building an 'AI chat board' and an 'AI portfolio chatbot website' using technologies like '#langchain', '#langchainjs', '#openaiapi', and '#chatgpta'. The transcript also details how to build this custom AI chat board, directly indicating content about programming agentic applications with LLMs.

✓ Why this creator matches:

The creator discusses the limitations of 'voice AI' agents and their multitasking capabilities (Post 3), which is relevant to the design and functionality of AI agents. Furthermore, 'Claude code in slack' (Post 7) directly links an LLM (Claude) with 'code' and an integration platform (Slack), strongly suggesting content related to programming or integrating LLMs, which can be part of building agentic applications. The bio also mentions 'ALL MY PROMPTS 4 U', indicating a focus on LLM interaction.

✓ Why this creator matches:

The source post explicitly discusses 'AI agent frameworks' and lists several (AutoGen, CrewAI, LangGraph, LlamaIndex, Pydantic), which are directly related to programming agentic applications using LLMs. Recent posts also mention 'AI Agents' and 'memory to AI Agents', further confirming relevance.

✓ Why this creator matches:

The creator's bio states 'Construyendo en público mi agencia de IA' (Building my AI agency in public) and 'Enseño a dominar ChatGPT de verdad' (I teach how to truly master ChatGPT). The source post explicitly details how to 'conectar ChatGPT a más de 500 apps y automatizar tu trabajo por completo' by activating developer mode, which is a direct example of creating agentic applications. Pinned posts further reinforce this by showcasing an AI handling sales calls ('Así maneja objeciones una IA en una llamada de venta!') and making 500 calls a day to sell ('Como mi IA hace 500 llamadas al día y vende por sí sola'). These examples clearly demonstrate content focused on programming or leveraging LLMs for autonomous, agentic tasks.

✓ Why this creator matches:

The creator consistently uses hashtags such as #gpt4, #gpt5, #chatgpt, #ai, #coding, #webdevelopment, and #python across multiple posts, including pinned content. This indicates a clear focus on programming and utilizing large language models in their web development context. While 'agentic applications' is a specific term, the overall content theme strongly suggests programming with LLMs.

✓ Why this creator matches:

The creator's content, particularly Pinned Post 2 and Recent Post 6, explicitly mentions creating a website/webpage using 'AI Agent' and 'AI'. While 'programming' isn't explicitly stated, the focus on building and creating with AI tools, especially the direct mention of 'AI Agent', strongly indicates content related to agentic applications of AI, which often leverage LLMs for their functionality.

✓ Why this creator matches:

The creator showcases and uses several AI-powered tools for programming tasks. For example, Post 5 explicitly mentions 'Test Sprite is an agent AI that tries your code and gives you clear feedback,' directly addressing agentic applications. Posts 2, 9, 10, and 11 demonstrate using AI tools like Sketchflow and Emergent to generate code, build multi-page websites, and create full SaaS applications from prompts, which strongly implies the use of large language models for programming and application development.

✓ Why this creator matches:

The creator's bio mentions 'AI Enthusiast' and a recent post explicitly states 'Dropping Episode 1 of my coding show soon, starting with the OpenAI API. From AI apps to crazy cod...'. Another recent post's transcript (translated from Italian) discusses 'create an agent that can support my organization' and 'syntax errors in creating the file', which directly points to programming agentic applications. The hashtag #AIinAction further supports this.

✓ Why this creator matches:

The creator explicitly mentions '8 projects to build' including 'custom GPTs' and 'AI projects that teach you skills businesses actually pay for'. They also discuss building 'AI systems' that have generated millions of dollars and running 'ChatGPT level AI completely private, off-line and on their own servers' using tools like 'AnythingLLM'. This directly aligns with content about programming or building agentic applications using LLMs.

✓ Why this creator matches:

The creator explicitly states they have built '5 apps in the last 6 months using AI, all of them production ready and generating revenue' and that these apps were 'All built entirely with AI' and '100% AI coded'. This demonstrates a clear focus on developing applications leveraging AI, which aligns with programming agentic applications using LLMs, even if it's through low-code/no-code AI tools.

✓ Why this creator matches:

The creator explicitly mentions and discusses 'agentic chatbot' and 'AI agents' in their content, specifically in Post 2 ('We'll be using two tools manners which is an agentic chatbot') and Post 10 ('Open AI just released a tool called Agent Kit that lets you build your own AI agents inside of chat G P t.'). They also refer to 'large language models' (LLMs) and 'ChatGPT' in multiple posts, indicating a clear focus on this area.

✓ Why this creator matches:

The source post transcript explicitly states, "I can also make custom AI agents. Or I can give my custom agent a name and also give it a prompt to" and mentions "GPT 4.1." Additionally, Post 13 discusses "Testing 3 crypto strategies built by an AI Agent." This directly indicates content about programming agentic applications using LLMs.

✓ Why this creator matches:

The creator's content frequently discusses AI advancements, APIs for developers (e.g., OpenAI's voice features), and the functioning of 'AI agents' (Post 7). They also mention 'vibe coding an app' and tools for development, indicating a focus on building and interacting with AI-powered applications and LLMs.

✓ Why this creator matches:

The source post explicitly mentions 'Running your own local LLM or Agent' and uses hashtags like #LLM and #agent, directly indicating content about programming or implementing agentic applications using LLMs.

✓ Why this creator matches:

The creator explicitly states 'I built an advanced AI Assistant with the OpenAI Realtime API' in a recent post, and also mentions using 'OpenAI’s gpt-3.5-turbo model' for a chatbot project. This directly indicates content related to programming AI applications using LLMs.