Development of an AI agent for brand advertising analysis (Facebook)

Budget: 12000 UAH Deadline: 10 days

aleksandergladchenko.github.io/portfolio/
Hello, Gary!
I carefully studied your technical specifications. Reading the responses from other specialists, I see that many immediately offer to build complex SaaS platforms, modular systems, and overloaded architectures at an overpriced rate. But you clearly stated: you need a simple, targeted, and functional solution "for your own," without unnecessary frills. This is exactly the approach I propose.
We will not create anything unnecessary. I will create a Python (FastAPI) agent script for you that will do exactly what is required:
1. Retrieve raw data by domain through the Meta Ads Library API.
2. Run texts and creatives through the OpenAI API (for video analysis, we will set up the extraction of hooks, roles, and styles, as you requested).
3. Store the data in PostgreSQL and carefully compile the outputs in JSON and PDF according to your template.
Everything will work precisely and without excessive code. If you later want to turn this into a large service — the foundation for that will be there, but for now, we are focusing on a quick result. You can view examples of my projects at the link at the beginning of my response.
Timeline: 7-10 days for a working tool.
Budget: 12,000 UAH (I fully agree with your assessment, the budget is adequate).
Message me privately, show me an example of the report you want to see as an output, and I will immediately start assembling! Expand

Budget: 27000 UAH Deadline: 10 days

Hello!

I am a Python developer, specializing in automation, data parsing, and API integrations. I have experience in developing services that collect data, analyze it through AI APIs, and generate structured reports.

Based on your description, the task seems quite feasible: we can create an AI agent that retrieves data from the Meta Ads Library API based on the brand's domain, collects ad texts, creatives (images and videos), launch dates, geography, and ad formats. After that, the data can be processed through the AI API for analysis of the creative strategy, determining the hook, type of message, style of the video (UGC / lifestyle / studio), as well as identifying patterns and "winners."

I propose to implement the backend in Python (FastAPI), store data in PostgreSQL, integrate with the Meta API to retrieve ads, and connect to the AI API for analytics. The output will be a structured report (JSON + PDF) with conclusions and analytics on the brand's advertising strategy.

I understand that you need a simple and functional solution without unnecessary complexity, so I suggest starting with an MVP: to build a system that reliably collects data, analyzes it, and generates a report. The architecture can be designed in such a way that it will be easy to scale the project into a SaaS in the future.

I am ready to take on the development and create a working prototype. After you send an example report and describe the analysis logic, I will be able to propose the final architecture and a breakdown of the stages.

Estimated cost for the MVP: $600–800.
We will discuss the timelines after clarifying the project details.

I look forward to collaborating and am ready to discuss the task in more detail. Expand

Budget: 27000 UAH Deadline: 1 day

Hello. I am a Python developer and I work on automation and integration of AI APIs.

The task is clear: we can implement an AI agent that will retrieve data from the Meta Ads Library, analyze advertising creatives, and generate a structured report (JSON + PDF).

For implementation, I suggest using Python (FastAPI), integration with the Meta API, AI API for text and video analysis, as well as PostgreSQL for data storage. The main logic will be divided into modules: ad collection, creative analysis, video analysis, and report generation.

Since you mentioned that a simple and inexpensive MVP using low-code solutions is needed, we can assemble the first working version quite quickly.

After you describe the logic of the report and the desired data structure, I will be able to propose the architecture and estimate the timelines.

Budget: 12000 UAH Deadline: 14 days

Hello! The project is clear, the approach is correct — to gather a working solution without unnecessary overengineering.
What I propose for the stack:
*Backend: Python + FastAPI (fast, simple, works well with AI APIs)
*Database: PostgreSQL (Supabase — free hosting + ready API)
*AI text analysis: GPT-4o / Claude — prompt engineering for structured conclusions
*AI video analysis: extracting key frames + GPT-4o Vision for determining the hook, style, message. If deeper analytics are needed — we can try Google Video Intelligence or Gemini
*PDF: generation by template, based on your report example

How it will work:
You enter the brand domain
The system collects data from the Meta Ads Library API
AI analyzes texts, creatives, videos
You receive a PDF + JSON report with analysis: creative strategy, geo, test → winner → expansion, creative ratings

Timeline: ~ 2 weeks (with tests)
Cost: ~ $1,000

I will quickly gain experience with the Meta API (the API is straightforward), the main thing is that there is a systematic approach and experience with AI integrations + report generation.

I can start immediately after discussing the details. I am ready to look at the report example and discuss the logic. Expand

Budget: 12000 UAH Deadline: 2 days

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

Budget: 12000 UAH Deadline: 10 days

Good day 👋

The project is clear in both logic and purpose. I also prefer simple low-code solutions without overcomplication and unnecessary expenses. The main thing is for the system to work stably and scale in the future.

I can build an AI agent that:

▪️ Finds the brand's advertising activity by domain
▪️ Retrieves data from the Meta Ads Library API
▪️ Collects texts, creatives (video/images), geo, launch dates, formats
▪️ Builds analytics (creative strategy, test → winner → scaling, update frequency, ad ranking)
▪️ Generates a structured PDF + JSON report

Regarding video — we can implement analysis of the hook, essence of the video, type of message, style (UGC / studio / lifestyle), urgency, social proof, and clustering through AI API.

Technologically, I see it like this:
Python (FastAPI) or Node.js + PostgreSQL + AI API + PDF generation.
We will immediately design the architecture with the potential for scaling into SaaS.

I work systematically: first, we will outline the logic, then the MVP, and then scaling.
I will form a reasonable price after clarifying the details and reviewing a sample report.

I am ready to discuss 👌 Expand

Budget: 11500 UAH Deadline: 11 days

Good day! I represent the Nexus Core team. We are the technical department for arbitration teams, and our specialization is creating tools that save budget and automate routine tasks. We understand your request for a "simple and adequate" solution. To implement the AI agent, we suggest using Node.js in conjunction with PostgreSQL. This will allow us to build a reliable backend that will work quickly with the Meta Ads Library API and databases without overpaying for excessive infrastructure. For analyzing video creatives (hooks, messages, styles), we will integrate the OpenAI API, which will provide depth of analytics at the level of a "smart agent," but within a fixed budget. Our team will handle all technical stages: Integration with Meta API: collecting texts, geo, dates, and ad formats. AI video analytics: clustering videos by patterns and identifying "winners." Report generation: automatic assembly of PDF and JSON according to your example. Database: reliable storage of all collected intelligence in PostgreSQL. To finalize the structure, we have a couple of questions: How deep should the video analysis be (is a textual description of hooks from AI sufficient, or is frame-by-frame analysis needed)? What is the approximate volume of domains you plan to analyze per day? We work according to a clear workflow: from the brief to QA and support. Our cases on advertising automation are under NDA, but in private messages, we are ready to discuss the logic of building such systems. The estimated cost of implementing such a turnkey MVP will be $2,500, with a completion time of 3-4 weeks. Write in private messages — we will discuss your calculation logic and prepare a development plan so that the project works stably and brings value to your tasks.

Budget: 12000 UAH Deadline: 12 days

Good day.
I have experience and a desire to work.
I will complete it within the agreed deadlines.

Budget: 26000 UAH Deadline: 10 days

Hello.

I have reviewed the task description. The idea is interesting, but to avoid overloading the start with excessive complexity, I suggest moving step by step.

At the MVP stage, it is rational to implement:

— obtaining data from the Meta Ads Library API by domain
— structuring the texts of ads, formats, geography, and launch dates
— AI analysis of the text part of creatives (hook, offer, triggers, type of message)
— heuristic determination of "likely winners" based on the duration of activity, repeatability, and scaling by geo
— formation of a structured PDF + JSON report

Full video analysis (scene breakdown, speech-to-text, pattern clustering) is a separate technical stage that requires a more complex processing architecture. It makes sense to implement it after validating the basic hypothesis and the value of the tool.

This approach will allow:

— to launch the first version faster
— to test the idea without unnecessary costs
— to maintain the possibility of scaling

If this launch format is suitable, we can discuss the details of the report structure and the logic of the analytics. Expand

Budget: 12000 UAH Deadline: 1 day

Hello.
I understood the task. We can create a simple working solution without overloaded architecture. We will make a service that retrieves data from the Meta Ads Library based on the domain, analyzes the ads, and generates a structured report in PDF and JSON.
We will implement text and creative analysis, including video, through suitable AI APIs. We will build the logic for identifying strategies, tests, winners, and scaling. The database will be PostgreSQL, and the backend will be in Python or Node — we will choose the optimal option.
We can create the MVP in 7-14 days depending on the volume of analytics.
The budget is approximately $600 for the first version.

We are ready to start after receiving a sample report and access to the API.

Budget: 18000 UAH Deadline: 10 days

Good day, Gary

I understood the task: to build a pragmatic low-code MVP "domain → Meta Ads Library → analysis → PDF + JSON" without expensive architecture, but in such a way that the report is stable and can be scaled into SaaS.

How I will build it (without over-engineering):
1. Ingest from Meta Ads Library API → normalization + deduplication (ad_id/creative_hash) → storage in Postgres.
2. Analytics: rules + LLM (creative strategy, geo-scaling, update frequency, logic test→win→expansion, winner ranking).
3. Report: PDF according to your template + JSON for further automation.
4. Cost control: caching AI responses, limits on the number of creatives/frames, so that operation does not become expensive.

Video (I suggest doing it as a phase):
— quick option: transcript + 3–5 key frames → defining hook/message/style/urgency/social proof + clusters.
— if it goes well, we will expand to a deeper analysis.

What I will consider in advance (usually breaks such projects): Meta API limits, deduplication of creatives, cost of AI calls, and repeatability of "winners."

Questions (3, to fix the price):
1. Brand source: domain → do you want to find all pages or only those of a specific advertiser?
2. How many brands/reports per day and what is the update frequency (daily/weekly)?
3. Is video necessary in the MVP or can we start with "light video" and deepen after testing?

Estimation:
— MVP (PDF+JSON, winners/geo/frequency, without heavy video): 5–8 days / 18,000–30,000 UAH
— MVP + video pipeline: 10–15 days / 30,000–55,000 UAH
I can start immediately. Expand

Budget: 20000 UAH Deadline: 5 days

Good day, I am ready to create a simple solution for you - an agent that will take data from the Meta Ads Library API, analyze the ads, and provide you with a report)
Feel free to reach out, I will be happy to help)

Budget: 25000 UAH Deadline: 35 days

Good day.

I propose to create a neat, pragmatic AI tool for you without excessive architecture — fast, understandable, and ready for further scaling.

Here’s how I see the implementation:
• We will create a modular architecture to easily turn the solution into SaaS if the test shows value.
• We will add a system of creative patterns: the agent will not just analyze ads, but identify recurring scaling patterns.
• We will implement a ranking of "growth mechanics" — so that in the report you see not just data, but actionable insights.
• We will build video analysis through a combined approach: extracting key scenes + AI interpretation of the hook and message. This will provide not a superficial description, but a strategic breakdown.
• In the report, we will create a section "what to copy" and "what to test," so that the tool genuinely helps in decision-making.
• We will ensure caching and cost control of AI requests, so that operation is not expensive.

I will assemble the solution quickly and systematically, without "overloading" the infrastructure.
I am ready to propose an architecture and a phased implementation plan before the start of development. Expand