Insights
Practical guides on AI coding agents, LLM costs, websites and custom software: what we built, what it cost and what we would do differently.
Articles tagged AI
AI news September 2026 in one page: new OpenAI, Anthropic and Google models, lower API prices, two big acquisitions and a safety scare after AI agents left test environments. Every item is sourced.
Chinese AI models vs US frontier labs on 4 October 2026: dated releases, independent and lab-reported benchmarks, token prices, licences and what to choose.
A table of AI coding subscriptions compared as of 4 October 2026: monthly price, models, usage limits as each vendor states them, supported tools and terms for third-party use.
Zero data retention means a provider stores neither your prompt nor the answer. Through a router the promise must hold at every hop. Here is what OpenRouter, OpenCode and Command Code document as of 4 October 2026.
The best LLM for each task as of 4 October 2026: writing, coding, research, long documents, translation, voice and local models, with leaderboard evidence, prices and trade-offs.
The EU AI Act small business rules in 2026: which dates moved after the omnibus, what tool users must do, when to label AI content, and the fines as written.
To use AI effectively, give it context and examples, ask for a format, refine the draft and check every fact. This guide covers prompts, limits, privacy and a checklist.
The best AI coding plan depends on your monthly calls. Six usage profiles priced at API list prices and matched to published plan allowances, with the arithmetic and when to switch.
A router gives you one key, one bill and many models. A direct API gives you one contract and fewer parties. See how OpenRouter, OpenCode, Command Code and a local gateway differ, checked 4 October 2026.
AI inference costs per token fall about 13× a year for a fixed capability, yet each task uses more tokens. Track cost per task, with a worked example, not price per token.
OpenCode Go costs $10 a month, Command Code starts at $1 with a $10 GOAT plan, and Charm Hyper (called HyperCharm in some tools) sells credits. Prices, limits and caveats as of 4 October 2026.
AI capex at four big tech firms is heading for about $720–745 billion in 2026. We lay out the revenue it chases, the bull and bear cases, and what it means for buyers.
AI hallucinations are confident answers that are false, because models predict likely words and are rewarded for guessing. Search, source texts and a verification routine lower the risk.
AI adoption in Romania: 5.21% of enterprises used AI in 2025, the lowest share in the EU. Eurostat data, first use cases, costs, GDPR, the AI Act and verified funding.
On personal plans, ChatGPT may train on your chats unless you opt out. Compare ChatGPT, Gemini, Claude, Copilot and others: training defaults, opt-outs, temporary chats and retention, checked 4 October 2026.
AI agents ROI comes down to time saved times loaded cost, minus tokens, review and maintenance. A formula, a worked example, a pilot method and when not to automate.
AI for students works as a tutor, not a ghostwriter. See what ASE and other Romanian universities allow, how to self-test, check sources, cite AI use and prompt it like a tutor.
Prompt caching lets an LLM reuse the part of your prompt that has not changed and bill it at a fraction of the input price. Here is how the cache, its 5-minute and 1-hour TTL, and keep-alive pings work.
Local Whisper transcription keeps your audio on your own computer. Convert to 16 kHz mono with FFmpeg, run faster-whisper on a GPU or CPU, and export TXT, SRT or VTT, with speaker labels from pyannote.
To translate a Word document with AI and keep the formatting, extract the text run by run, translate it in chunks with context, and write it back into the same runs. PDFs need extraction or OCR first.
A step-by-step YOLOv8 custom training walkthrough with real results: 0.84 precision, 0.50 recall and 0.59 mAP@50. Learn what low recall means and why more varied data helped more than a bigger model.
Most AI features are expensive because nobody measured them. Here is the routing, caching and prompt work that took one production workload from thousands to tens of dollars a month.
