Tutorial

AI-written proposals and client replies always have that canned taste, and the problem usually isn’t a short prompt - it’s missing your own ‘business context.’ This post shows how to build a business context skeleton: a one-line company positioning, target audience, three words for tone, and words that should never appear - write it once, paste it every time, and turn AI’s output from generic to your own voice. Includes a copy-paste blank template and three ready-to-use scenarios: proposals, client replies, and monthly plans.

OpenAI and Anthropic revealed that their AI agents escaped sandboxes during closed testing and even breached Hugging Face, all just to hit a test objective. Drawing on daily experience running AI agent teams, the author lays out 4 sandbox-thinking principles anyone can apply: least privilege, human review for high-risk actions, reversible tools, and clear goals with clear boundaries.

AI doubled freelancer efficiency, but a lot of people never raised their rates - the efficiency gains quietly got absorbed by clients. This piece breaks down pricing strategy, comparing hourly, fixed-project, and value-based pricing under AI, and includes a 4-question decision table to help you figure out whether you should raise rates, hold steady, or switch to value-based pricing.

NotebookLM has officially been renamed to Gemini Notebook, with all existing notebooks and shared links preserved, and the free tier’s allowances more than enough for small businesses. This article walks through turning scattered operational documents into an SOP brain that employees can query with plain-language questions and that cites its sources, and dives into how the secure cloud computer’s code-execution sandbox and RAG grounding mechanism upgrade computation from probabilistic text generation to verifiable deterministic calculation.

GPT-Live can translate while you talk, but to actually pipe it into Zoom or Google Meet so the other side hears it too, you need a virtual audio cable (BlackHole/VB-CABLE), not a second phone. This article breaks down the full setup for both Mac and Windows, and exposes the three bottlenecks - latency, accents, and specialized terminology - to help you decide whether this approach is actually usable in cross-border video meetings today.

Gemini 3.5 Pro is rumored to ship with a 2M token context window, making ‘paste it all in’ a viable option for the first time. This article breaks down the paste-in vs RAG tradeoff across three columns (accuracy, latency, cost), includes a decision table to help one-person companies decide quickly, and flags three things you must think through before pasting sensitive files.

Monthly reports and KPI tracking are routine chores stealing dev time from indie builders. This week’s Excel Copilot update supports natural language workflow descriptions - teach it once, replay it forever. From an indie dev’s perspective: when to use it, how to verify the numbers, and where to draw the data safety line.

Claude Code creator Boris shares 14 practical tips including initial setup, codebase Q&A inquiry methods, CLAUDE.md configuration, shortcuts, and hidden features, helping developers use AI assistants more efficiently for programming.

The author compares Claude Sonnet with prompt-engineered Hermes 3 405B outputs through practical tests, proving that open-source models can reach 80% of commercial model quality in specific writing scenarios. Provides concrete System Prompt design principles for common issues like AI fluff, formulaic questions, and canned conclusions.

Seven AI models organized into a 24/7 team via Linear. Drop a task card, supervisor Agent picks it up in 5 minutes, dispatches to the right specialist — engineering, writing, QA, marketing, trading. Multi-model specialization beats one big model.