
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
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?
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
Which model fits each RAG task: bulk filtering, fast review, or strict source selection? We compare Jev and five LLMs on 200 projects and show how aggregators such as apixly.ai help run the evaluation.
Deye Inverter Data Every Minute: Local Monitoring Without the Cloud
A practical Deye monitoring setup: Solarman V5 and Modbus, a minute-level Python collector on Synology, an offline spool, a secure Laravel API, and charts.
Jetton Withdrawals: Reservations, Confirmation and Ledger
How to reserve Jetton for withdrawal, release it after failure and avoid duplicate deductions.
TON Deposits: Idempotency and Exact Credit
How a verifiable transaction ID, balance update and ledger prevent a retried webhook from double-crediting TON.
P2P Deal: Listing Locks, Frozen Funds and Release
How a Laravel P2P platform closes listing races and moves funds between deal participants.

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 we added the 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.
