Creation of an AI agent for generating video content

Good day.

I can develop an MVP AI pipeline for generating video content: topic input, information gathering, script, voiceover, visual part, video assembly, description, tags, and cover.

I suggest doing it step by step: first a stable MVP with video generation based on a template and manual verification before publication, then expanding the agent's autonomy.

I have worked with Python, backend logic, automation, Telegram bots, and integrations with AI/API. For video generation, we will need to agree on services separately, as costs for GPT/TTS/video/image API are better calculated separately.

Estimated cost of MVP: 25,000 UAH.
… Deadline: 3-4 days.

Before starting, we need to clarify: is fully automatic video generation required, or is template-based editing acceptable; which AI services do we plan to use; is auto-publishing on YouTube needed?

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Hello! It's an interesting task, and I would like to take it on.

I would suggest doing it step by step. First, an MVP: generating a 2-3 minute video on the topic with voiceover, simple visuals, description, and cover. After that, we can add manual moderation, different video styles, auto-publishing on YouTube, templates, project stories, and improved editing.

For an accurate estimate, we need to clarify: in what language the videos should be, what style is needed, and what level of quality is expected.

Preliminarily, the MVP of such a system may take about 1-2 weeks. The budget depends on the quality of generation and automation, but for a basic working version, it should be around 5000.

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I am implementing an autonomous AI agent for the complete cycle of creating YouTube videos on a specified topic. I have extensive experience in building multi-agent systems (Multi-Agent Systems using LangGraph/CrewAI), integrating generative media APIs (text, voice, video, images), and automating video rendering through software timelines.

The task is entirely realistic but requires a clear architecture, as several specialized agents (Research Agent, Script Agent, Director Agent) will work in parallel. Special attention will be paid to the niche (for example, "kasyno bonus bez depozytu"), as the gambling/iGaming topic requires strict adherence to YouTube rules to avoid instant strikes on the channel. In the end, you will receive a fully edited video with dynamic subtitles, premium-quality voiceover, an SEO package, and a clickable thumbnail.

Clarification before starting: what type of visual content is a priority for you: 1) Automatic combination of thematic stock videos/photos with transitions and effects? 2) Fully generated AI video clips (via Runway/Luma API)? 3) Virtual AI avatar (like HeyGen) that reads the text?

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I can implement this project.

I have experience with Python, creating automated systems, and AI pipelines.

For the task, I see the implementation of an AI agent that includes:
- gathering information through Google/YouTube API
- generating a script through LLM
- generating voiceover (TTS)
- automatic video editing (FFmpeg / templates)
… - creating a thumbnail
- generating description, tags, and hashtags

The architecture will be built as a pipeline: research → script → voice → video → SEO.

Result: a ready 2–3 minute video for YouTube + metadata (description, tags, thumbnail).

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Hello! I can implement it. Please message me privately to discuss all the details. I hope for cooperation!

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Hello!

We are ready to take on the project — AI agents for content generation is our specialty.

Here’s how we envision the implementation:

1. Data collection — the agent receives a topic, gathers information through Google Search API, YouTube, and scraping top articles. It forms a structured script.

2. Video generation — script → voiceover via TTS (ElevenLabs or similar) → video with subtitles and visuals through Remotion or MoviePy.
…
3. Thumbnail — AI generates a thumbnail based on the video topic.

4. Goal — we automatically generate a description, hashtags, and tags for YouTube for SEO.

Result: topic input → finished video 2-3 minutes long with voiceover, description, and thumbnail output.

Message us privately — we will consult on the technical specifications and all implementation details.

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Good day. I am ready to complete this project and have extensive experience in developing various applications.

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Hello,

I understand the task: one topic input → agent gathers info from Google/YouTube → generates a script → voiceover → finished video + description with tags + thumbnail.

Here’s how I gather this in practice:
- **Data collection:** browsing agent (Playwright) + YouTube Data API + Google Custom Search → brief summary of the topic via LLM.
- **Script + description + hashtags:** Claude or GPT-4o, one structured prompt → JSON with fields (intro, body, outro, description, tags).
- **Voiceover:** ElevenLabs (PL/UA/RU voices), or OpenAI TTS if cheaper.
- **Video:** stitching stock footage (Pexels API) + subtitles + voice-over via ffmpeg or Remotion. If AI-generated video content is needed — Runway / Pika API.
… - **Thumbnail:** SDXL / Flux or DALL-E with a thumbnail template.

All of this is packaged in FastAPI + Celery: topic → task → finished video in S3 in 5–15 minutes.

Questions:
1. How many videos per day are needed — this affects the choice of TTS (cost) and video generator.
2. Budget for the test MVP — I want to calculate the cost per video before proceeding.

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Hello, I can implement this, I love such tasks.
Technological stack and architecture:
I will build the system based on LangGraph (this allows agents to interact cyclically) and deploy it on a VPS.

Research Agent (Data Collection):
Using Perplexity API or Tavily API for deep real-time search (Google, news, blogs).
YouTube Transcript API for analyzing top competitor videos based on key queries (for example, "kasyno bonus bez depozytu").
Scriptwriter Agent (Script):
Claude 3.5 Sonnet or GPT-4o. They best structure the text for YouTube (introduction, attention retention, CTA).
…
Visual Agent (Video Generation):
Veo (Google) or HeyGen / Runway API for creating video footage.

Leonardo.ai / Midjourney API for creating the cover (Thumbnail).
Voice Agent (Voiceover):
ElevenLabs API (the most realistic voices with Polish language support).

SEO Agent (Metadata):
Generating title, description, and tags based on collected data through GPT-4o.

🔄 Workflow process
Input: You write the topic.

Analysis: The agent collects current bonus offers, wagering conditions, and limits (for content relevance).

Script: A script of 2-3 minutes is created (approximately 300-450 words).

Component Generation: An audio track and video footage are generated simultaneously (or stock footage is selected through Pexels/Shutterstock API + AI generation).

Rendering: Using Shotstack or FFmpeg (on the server) for automatic stitching of audio, video, and overlaying subtitles.

My Git: https://github.com/onyx144

Price $1200, deadline 22 days.

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Hello! I am Volodymyr, the founder of the engineering agency Vaysed. We specialize in building seamless automated pipelines, so we are ready to implement this project as a reliable server infrastructure.
Instead of unstable no-code solutions, we will deploy a powerful backend in Python. Your agent will operate like a well-oiled machine consisting of several isolated modules:
Data Collection and Script (Research & LLM): Using a specified keyword (for example, "kasyno bonus bez depozytu"), the script automatically parses the top results via the Google Search API and analyzes trending videos through the YouTube Data API. Then, the language model (GPT-4o or Claude 3.5 Sonnet) synthesizes the collected information and writes a unique, dynamic script lasting 2–3 minutes (about 350–450 words), optimized for high audience retention.
Professional Voiceover (TTS): The prepared text is sent to the ElevenLabs API. This will allow generating the most realistic, lively voice in the required language (for example, Polish or English) with the correct intonations, which YouTube will not recognize as a cheap robot.
Video Generation and Editing: This is the most complex engineering stage. We will write logic based on FFmpeg and MoviePy, which will autonomously generate the visual content. This could be a compilation of relevant stock footage or images generated through the DALL-E 3 / Midjourney API. Additionally, the system recognizes word timings through the Deepgram / Whisper API and overlays modern dynamic subtitles and background music.
Packaging (SEO and Thumbnail): The AI will generate a clickable title, an optimized description with necessary links, hashtags, and tags. To create an attractive thumbnail, we will use image generation with subsequent automatic overlay of contrasting text (via the Pillow library).
As a result, the bot or web interface will provide you with a ready archive: a high-quality .mp4 file, a .jpg thumbnail, and a text file with metadata. If needed, we can add a final step — automatic publishing to your YouTube channel via API.
You can evaluate our engineering approach and implemented complex projects (including intricate backend systems and Web3 applications like WorkersTon) on the agency's website: https://vaysed.me/. Message me privately so we can discuss the style of your future videos and promptly launch the project into development!

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Good day!
Yes, I can implement such a turnkey AI agent for automatic YouTube content generation.

How the system will work:

1. You specify the video topic
For example: "casino bonus without deposit".

2. The AI agent automatically:
… — collects information from Google, YouTube, websites, and other sources;
— analyzes the content;
— forms the script structure;
— generates text for voiceover;
— creates the video sequence;
— adds AI voiceover;
— generates a thumbnail;
— creates a description, hashtags, and SEO tags for YouTube.

In the end, you receive:
✔ a ready video of 2–3 minutes;
✔ voiceover;
✔ automatic editing;
✔ thumbnail;
✔ description + tags + hashtags;
✔ ready content for publication on YouTube.

Technically, I can implement:
— AI orchestration / agent system;
— integration with OpenAI / Claude / Gemini;
— video generation through Runway / Pika / Kling / FFmpeg pipeline;
— TTS voiceover (ElevenLabs, Azure, Google Voice);
— automatic editing;
— admin panel;
— generation queue;
— API or Telegram/Web interface.

We can also add:
— auto-posting on YouTube;
— multi-language support;
— generation of Shorts/Reels/TikTok;
— mass content generation;
— AI avatar or host.

I can offer both an MVP version for quick launch and a full-fledged scalable system.

I am ready to discuss details, stack, and budget.

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Good day! I have experience in creating a similar agent for the gambling theme. Write to me - we will discuss your project in more detail.

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Hello. I have extensive experience with Node.js/Python. I am ready to collaborate. Feel free to contact me.

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Hello! After reviewing your project, I am ready to start working on it. I can offer optimal solutions to achieve the best results.

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Hello! I have thoroughly analyzed your task. Creating such an AI agent is a completely feasible process that I can build based on Python.
The system will operate as an automated pipeline:
A special algorithm will gather information from search engines based on your request.
A language model (for example, GPT-4o) will write the engaging script and SEO metadata (description, tags).
The text will be voiced by a realistic voice through ElevenLabs.
The software script will automatically select relevant video footage and edit it with the audio into a single mp4 file.
At the same time, a clickable thumbnail will be generated.
I must immediately warn you about two important nuances. First, for the agent to work, you will need to pay for the use of API services (OpenAI, ElevenLabs, etc.). Second, the theme of gambling ("kasyno") is under close scrutiny by YouTube's algorithms, so there is always a risk of content being blocked by the platform itself, regardless of who generated the video.
Developing such a pipeline "turnkey" will take about 1-2 weeks. Please let me know what kind of visual content you expect to see in the video: should it be a montage of thematic stock videos, or do you plan to use paid neural networks for full generation of video frames from scratch?

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Ready to develop an AI agent for generating videos for YouTube, using Python for data collection, content processing, and integration with APIs for video generation, voiceovers, and thumbnails. I can automate the video creation process with descriptions and tags.

Message me, and we can discuss everything in detail, and I can start working immediately.

Portfolio: Freelancehunt
Reviews: Freelancehunt

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