Deep dives into artificial intelligence tools, practical guides, and expert perspectives on the technologies shaping tomorrow.
86 articles found in Guides & Tutorials
ElevenLabs Dubbing, HeyGen, Rask, and YouTube auto-dubbing, verified for September 2026. What dubbing does to your voice, the lip-sync tradeoff, EU disclosure rules, and the 10-minute spot-check that catches the errors nobody can hear.
A six-month KPI dataset walked end to end, from CSV to dashboard to executive summary, through Julius, Hex, Power BI Copilot, and Tableau Pulse. Includes the ten-minute recompute check that catches AI-generated numbers that look right and are not.
Claude, Gemini, Acrobat, Draftable and Litera can diff two contract versions in seconds. Here is what AI document comparison really catches, where it hallucinates changes, and a 15-minute manual verification protocol before you trust the summary.
AI study tools now turn lectures, PDFs, and videos into flashcards and quizzes in seconds. Here is what active recall actually needs from a study tool, and a ten-minute test to check whether generated questions faithfully represent your course material.
The screen-history search category got reshaped: Rewind is dead, Microsoft Recall shipped after its privacy overhaul, Screenpipe went commercial, and Pixel Screenshots quietly moved to the cloud. Here is what semantic screenshot search really retrieves, what the privacy trade looks like in September 2026, and who actually needs any of it.
Text-to-SQL finally works, with benchmarks showing 84-90% accuracy. But wrong joins, NULL traps, and permission-filtered results still return confident wrong answers. Here is how to catch them, and which tools (Julius, Snowflake Cortex Analyst, Databricks Genie, dbt Semantic Layer) handle it best.
AI SEO audits surface cannibalization, internal link, content gap, and decay candidates fast. Here is the manual verification pass that keeps you from redirecting the wrong page, with the September 2026 state of Surfer, Semrush, Clearscope, Sitebulb, and Screaming Frog.
LLM routers promise to cut your AI bill by routing each prompt to the cheapest capable model. Here is the real September 2026 tool landscape (OpenRouter, LiteLLM, Not Diamond, Martian, RouteLLM), the savings math with actual per-token prices, and the prompt-cache arithmetic that made one company delete its own router.
A three-claim test passage, a repeatable verification workflow, and an honest map of where AI helps and where it hallucinates when you fact-check your own writing.
OpenAI just shut down its Evals platform and bought 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.
See the exact pieces an AI sees when it reads your words. This guide shows how tokenization works, real token splits, why the strawberry mistake happens, how tokens are priced, and how to count your own tokens in one minute.
AI summaries of lectures are accurate and misleading at the same time: they keep the numbers and quietly drop the caveats. Here is the transcript-first workflow, Gemini Notebook (formerly NotebookLM), one re-tested summarizer, and a two-minute check that catches what compression deletes.
