AI Integrations and Agents

AI integrations and agents for real workflows

This section covers practical AI adoption in applications and business processes: assistants, document processing, knowledge-base search, RAG and integration with existing systems.

Related services include AI agents and RAG systems, business process automation and API integrations.

How Bybit’s Support Bot Turned a Simple Issue into an Endless Conversation

A first-hand Bybit P2P support experience: repeated instructions, a disconnected agent chat, and lessons for AI agents, CRM integration, and case management.
PDF Document Translation in Laravel: Why I Replaced OCR with the DeepL API

PDF Document Translation in Laravel: Why I Replaced OCR with the DeepL API

A Laravel PDF translation case study covering queues, the DeepL Document API, S3 storage, access control, costs, and comparison with an OCR pipeline.
MCP + RAG: How AI Turns Data into Clear Answers, Tables and Charts

MCP + RAG: How AI Turns Data into Clear Answers, Tables and Charts

How to combine MCP and RAG for document search, Telegram conversation analysis, financial data and telemetry, with practical examples.
MCP for Websites: Audits, Product Selection and Business Data for AI Clients

MCP for Websites: Audits, Product Selection and Business Data for AI Clients

A practical guide to website MCP: data audits, product selection, support, analytics, security and real ifreework.com scenarios.
“Let’s hire AI bots and make support cheaper.” What could go wrong?

“Let’s hire AI bots and make support cheaper.” What could go wrong?

A simple balance transfer took about five hours. Here is why chat history cannot replace task state and what backend architecture AI support needs.
Jev vs. Five LLMs: Selection Quality, Latency, and Cost for Building RAG Systems

Jev vs. Five LLMs: Selection Quality, Latency, and Cost for Building RAG Systems

Which model fits each RAG task: bulk filtering, fast review, or strict source selection? I compare Jev and five LLMs on 200 projects and show how aggregators such as apixly.ai help run the evaluation.
TypeSafe and Jev in Laravel: Lessons from Evaluating 4,344 GitHub Projects

TypeSafe and Jev in Laravel: Lessons from Evaluating 4,344 GitHub Projects

A practical IdeaRadar experiment: integrating TypeSafe/Jev with Laravel, evaluating 4,344 repositories, and examining why fast, structured responses do not guarantee sound selection.

Running a Local LLM in Production: Integrating Ollama with Laravel

How I added Qwen2.5 7B via Ollama to the production pipeline, tested the CPU inference and came up with a hybrid scheme: local model for primary analysis, DeepSeek for complex candidates.

Wire Room

How the AI news pipeline Wire Room works: RSS collection, rewriting, search for duplicates and publication on the site and in channels. Separately, I show the scenario of sending the news by the editor through the Telegram bot.

Book Processing Pipeline

How photos of books turned into cards on Ozon, Wildberries and Yandex Market. A look at Laravel system with data recognition, pricing, publication and synchronization of balances.