ChatGPT

Knowledge workers lose 2–3 hours a day to email. Gmelius's 2026 study found that companies adopting AI email assistants cut inbox time by 65% and saw productivity gains of 82% — five minutes per reply collapsed to thirty seconds. This article frames the productive way to use AI for inbox and chat work through a 3-layer model (draft with human approval / tone tuning / full auto), compares the main tools (Gemini in Gmail, Microsoft Copilot, Shortwave, Gmelius, MailMaestro, ChatGPT/Claude, Intercom Fin), gives three copy-pasteable 10-second prompt templates (reply draft, 3-line summary, tone conversion), covers chat automation across Slack, Teams, and LINE, and lays out the three operational rules that keep AI assistance from destroying long-term relationships.

In April 2026, the MMMU-Pro multimodal benchmark hit 81–83% across GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and Qwen 3.5 Omni — image understanding has effectively saturated. Architecture has migrated from stitched (separate encoders + adapter) to native omnimodal (all modalities as a shared token stream). This article covers what multimodal AI is (LMM/VLM/Omnimodal), the architectural divide and why it matters, head-to-head comparison of GPT-5.5 / Claude / Gemini / Qwen / DeepSeek, four benchmarks to watch (MMMU-Pro, Video-MMMU, DocVQA, AudioBench), five use-case decisions, and the three hard limits (low-quality image guesses, mid-video accuracy, dialect/jargon audio) — grounded in current research and practical use.

The 2025 Harvard RCT showing "AI tutors enable learning at 2x the speed of conventional teaching" changed the exam-prep landscape. The top tier of students worldwide is already at the stage of folding AI in as "a second tutor." This article organizes the three fundamental shifts AI brings to exam prep, the five core techniques (personalized past-paper analysis / targeted similar-problem generation / auto flashcards / teach-it-to-the-AI for retention / plan drafting), a six-tool comparison (ChatGPT/Claude/Khanmigo/NotebookLM/Quizlet/Anki/Photomath), the 3-step cycle that 10x's efficiency, the three pitfalls, and worked examples for college admissions, certifications, and language tests — all from a global perspective.

A $20/mo ChatGPT Plus subscription can drop to $2/mo on the API — or it can shoot up to $200 in the other direction. The AI API is a "pay-as-you-go" world. This article walks through the five fundamental differences between Web chat and API, what tokens are and how pricing is calculated, May 2026 pricing for the major models (Claude Opus / Sonnet / Haiku, GPT-5.5/5.4, Gemini 3.1 Pro / Flash-Lite, DeepSeek V4-Pro), a 4-type model selection map, the three pitfalls every beginner falls into (conversation history accumulation, oversized system prompts, missing spending limits), and the 5-minute first call with curl plus Python — all from a beginner's viewpoint.

In 2026, Claude Opus 4.7, GPT-5.5, Gemini 3.1 Pro, and DeepSeek V4-Pro all declared "1 million (1M) tokens" of context window. But independent benchmarks (multi-needle NIAH) show that only Gemini 3 Deep Think holds accuracy across the full 1M; the others start losing precision at 200K–400K. "Supports" and "actually reads to the end" are different things. This article walks through how context windows work, the May 2026 model lineup, what Lost in the Middle and Context Rot really are, the cost trap of OpenAI's long-context surcharge, and five practical saving tactics — "cut the session," "send excerpts," "restate at the end," "cache," "explicit addresses" — backed by real benchmark numbers.

In April 2026, Anthropic Claude Opus 4.7 and OpenAI GPT-5.5 shipped one week apart. Opus leads on real codebase work (SWE-bench Pro 64.3%); GPT-5.5 leads on terminal control and customer support (Terminal-Bench 82.7%, OSWorld 78.7%) — almost mirror-image strengths. And while Opus has the lower sticker price, output token volume often makes GPT-5.5 about a quarter the real-world cost on the same task. This article lays out the spec sheet, benchmark deep dive, token-economics, strengths-and-weaknesses map, use-case picks, and a dual-vendor strategy, all grounded in official sources and third-party evaluations.

OpenAI shipped "ChatGPT 5.5 (GPT-5.5)" on April 23, 2026. Pitched as "a new class of intelligence for real work and AI agents," it scored 82.7% on Terminal-Bench 2.0 — pulling ahead of Claude Opus 4.7 (69.4%) and Gemini 3.1 Pro (68.5%) to reclaim the top spot. But API pricing doubled vs GPT-5.4 ($5/$30 per MTok), and Claude Opus 4.7 still beats it on SWE-Bench Pro. This article gives you the full picture — features, benchmarks, pricing, plan availability, head-to-head with Claude and Gemini, and how to pick — all grounded in official sources.

Claude Code and Codex are the two biggest names in AI coding tools. Which one is right for you? We compare them across three key dimensions: pricing, performance, and best use cases.

A complete comparison of Claude (Anthropic) and ChatGPT (OpenAI) pricing as of March 2026. Discover which plan is right for you across three dimensions: free tiers, monthly subscriptions, and API pricing.

Ever asked a generative AI a question only to hear "that's beyond my knowledge"? Every generative AI has a training data deadline called a knowledge cutoff. Here's a side-by-side comparison of cutoff dates and web search support across 8 major tools.