How we made Speech-to-Text noticeably better with 90 data points and two prompts
How we tuned Whisper-small with 90 data points, two AI prompts and a personalised keyword glossary — copy-paste templates included.
in Arbeiten mit KI
Parallele Tasks, Tooling und Routinen, die das Tempo erhöhen.
How we tuned Whisper-small with 90 data points, two AI prompts and a personalised keyword glossary — copy-paste templates included.
Plans as rich text, files dropped in by drag & drop, and the AI agent reads both. How the new plan area in boostN bundles your project context.
Anthropic's status board shows 98.64 % uptime. The per-day stripes tell a different story — and it's the one that matters for your work.
One word, two meanings: I blocked a Git commit, the AI heard deploy. Why a shared vocabulary decides everything when you work with AI.
Speech-to-Text refers to the automatic conversion of spoken language into text by an AI model. In an AI workflow, STT replaces the keyboard as the input channel — what matters is model size and domain vocabulary.
AI image generation creates images from text prompts using generative models. Tools such as Midjourney, DALL-E, Adobe Firefly and Stable Diffusion are used in marketing for concepts, visuals and image editing.
AI data analysis means evaluating data (CSV, Excel and more) via natural language: an AI system writes and runs code behind the scenes to clean, calculate and visualise files — e.g. ChatGPT's Advanced Data Analysis.
AI meeting assistants are software tools that automatically record, transcribe, summarize online meetings and derive action items from them. Well-known examples include Otter, Fireflies, Fathom and Microsoft Copilot in Teams.
AI presentations are slide decks created with the help of generative AI. From a short prompt or an outline, tools like Gamma or Beautiful.ai automatically generate structured slides with text, layout and matching images.
An AI research assistant is an AI system that, given a question, searches the web in multiple steps, reads and cross-checks sources, and synthesises a cited answer or report — e.g. ChatGPT Deep Research, Gemini Deep Research or Perplexity.
AI video generation creates moving images from text or image prompts. Diffusion-transformer models such as Google Veo, Kling, Runway or Sora iteratively denoise latent frames into coherent video, usually as clips of a few seconds.
AI knowledge management makes scattered company knowledge searchable and usable with AI. Documents are turned into vectors so employees get answers from natural-language questions — usually via retrieval-augmented generation.
The orchestrator-worker pattern, when parallel agents pay off and when not, the mechanics of shared queues, and the token price for it.
Uber spent its full 2026 AI coding budget in four months. Its fix: $1,500 per employee, per month, per tool.
2026 industry data: agentic AI burns 5–30x more tokens than a chat. What that means for multi-agent budgets.
Klarna saved $60M, General Mills $20M: the case studies impress. But only ~29% of firms see clear ROI. The sober 2026 balance sheet.