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.
Arbeiten mit KI
Arbeitsweisen, Workflows und Routinen rund um den produktiven Einsatz von KI im Alltag.
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
AI Workflows by Keyword: How We Make Recurring Routines Enforceable
A typed keyword triggers a fixed AI routine — and every single step must be committed before the next one appears. Why that's the actual trick.
Blog
Saving Tokens with Claude: 6 Principles That Make Experts Twice as Fast
How I turned my CLAUDE.md from a style guide into a token budget — 6 principles for lower cost, less waiting, and more honest reporting.
Blog
Better speech recognition in boostN-CLI: Audio normalization + a flexible Whisper model
Why dictated text got swallowed, how SoX normalization and a model switcher fixed it — and what is actually happening under the hood.
Blog
Controllable Remote Coding Sessions: One Level Above the IDE
The session URL had suddenly vanished from the terminal. How we found it again via a server endpoint — and why it enables working above the IDE.
Blog
Keeping an AI Knowledge Base Current With RAG: How My AI Stays Up to Date
How I keep an AI knowledge base current with RAG — searchable, maintained by a keyword and re-indexed on its own at night, instead of going stale.
Blog
Multi-AI Orchestration Without API Costs: Why Your Existing Subscription Is Enough
Headless agents on your own machine, fed by the subscription you already pay for instead of an API bill — how boostN orchestrates many models.
Content Creation with AI: a Clean Workflow Automating AI Workflows Working Productively in Parallel with AI Agents Managing Your Token Budget — the Biggest Cost Levers for LLMs
AI Marketing Speech-to-Text (STT) Conversational Marketing AI Image Generation AI Content Workflow AI Data Analysis AI Meeting Assistants AI-Powered Personalization AI Presentations AI Research Assistant AI Video Generation AI Knowledge Management Prompt Library
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.