News
Uber burned its 2026 AI budget in four months — and now caps Claude Code
Uber spent its full 2026 AI coding budget in four months. Its fix: $1,500 per employee, per month, per tool.
Produktivität
Parallele Tasks, Tooling und Routinen, die das Tempo erhöhen.
News
Token Tsunamis: why agentic AI systems blow up your costs
2026 industry data: agentic AI burns 5–30x more tokens than a chat. What that means for multi-agent budgets.
News
What AI Agents Actually Save in 2026 — Numbers and an Honest Take
Klarna saved $60M, General Mills $20M: the case studies impress. But only ~29% of firms see clear ROI. The sober 2026 balance sheet.
Blog
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.
Blog
One Plan Area per Project — With File Attachments the AI Can Read Too
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.
Blog
98.64 % uptime? It felt like I was blocked 44 % of the time.
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.
Blog
Working with AI: one word, two actions — and an hour of debugging
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 (STT) AI Image Generation AI Data Analysis AI Meeting Assistants AI Presentations AI Research Assistant AI Video Generation AI Knowledge Management
Evergreen Content
Evergreen Pillar Article
Anthropic Claude Code — what it is and how it works
Claude Code is Anthropic's official AI coding tool. How it's built, what it does, and how tool use, MCP and permissions fit together.
Deep-Dive Articles (3)
- 1 Claude Code and MCP servers: how external tools get integrated
How the Model Context Protocol connects Claude Code to databases, APIs and custom tools — and what to watch out for on permissions.
- 2 Claude Code auto-classifier: the security layer between model and tools
How the auto-classifier in Claude Code scores tool calls live, blocks risky actions, and which defense layers sit behind it.
- 3 Claude Code: the features every user should know
The most important features in Claude Code — from slash commands and hooks to plan mode, sub-agents and MCP integration.
Evergreen Pillar Article
AI Guardrails That Actually Hold: Why Rules Alone Are Not Enough
Memories, CLAUDE.md, and slash commands are suggestions — not commands. What it really takes to make AI models stop reliably on critical actions.
Evergreen Pillar Article
Working in Parallel with AI: How Engineering and Content Move Forward Together
Pair hard tasks with easy ones — and why a prepared content workflow makes engineering wait times productive instead of dead air.