Deep dives into artificial intelligence tools, practical guides, and expert perspectives on the technologies shaping tomorrow.
One four-call agent task costs about 5 cents on gpt-5.6-terra, and 20,000 runs a month cost about $1,012. Here is the line-by-line receipt, the retry and caching math, and a 5-minute estimate.
OpenAI is shutting down its Evals platform and is acquiring Promptfoo. Here is the current eval tool landscape, from Braintrust and LangSmith to DeepEval and RAGAS, plus a fixed-benchmark starter suite with factual, adversarial, structured-output, and tool-use cases you can build this week.
Cohere Embed 5 pairs a premium Pro tier with a cheaper Fast tier inside a single shared embedding space, so you embed the corpus once and run every query at $0.08 per 1M tokens. A practical guide to the pricing, storage math, benchmark caveats, and when not to switch.
Vendor benchmarks say every AI code reviewer wins. Learn the seeded-repo method: plant 12 known defects, then compare CodeRabbit, Copilot, Greptile, Bugbot and CodeAnt on bugs caught and noise.
A PocketOS-style 9-second outage is what happens when an agent with over-scoped credentials meets no approval gate. Here is the threat model, the layers that stop an agent acting externally, from LangGraph interrupts to Claude Code permissions to MCP 2026-07-28 scopes and Akuity's control plane, and a six-step setup recipe.
AI is making education easier, more personalised, and accessible for students. It can adapt learning to individual needs, provide instant homework help and feedback, support creativity, assist with research and writing, help students learn languages, improve accessibility, and automatically take notes. Overall, AI acts as a useful study assistant that helps students learn more efficiently while still allowing them to do their own work.
Prompt-to-UI tools split into three jobs: throwaway prototypes, editable design iteration, and production code handoff. Covers v0, Lovable, Uizard, Figma Make, 21st.dev and Subframe, current pricing, an edge-state test to run, and a decision rule.
AI reads and bills text in tokens, small pieces of about 4 characters. See real tokenizer splits, a worked bill for one job and free ways to count your own tokens.
One worked admin week with an AI tool in each block: email, invoicing, SOPs, meetings and reporting. Setup effort, monthly costs, hours saved and what to leave manual.
Which AI browser agent fits a repetitive, login-gated web job in October 2026, where each one breaks, and the approval-gate pattern that keeps bulk form filling safe.
AI API testing tools generate tests from your spec, from recorded traffic, or through an agent in your workspace. Here is what Schemathesis, Keploy, Postman Agent Mode and Kiro each catch, what they miss, and how to layer them in CI.
AI summaries of lectures keep the numbers and drop the caveats. Pull the transcript first, ask the tool for every condition, and run a two-minute check before you trust it.
