Bulk Content Engine: How Context and RAG Tags Make the Orchestrator Smarter
My Bulk Content Engine now pauses and resumes at any point, because the orchestrator maintains its own context — plus RAG tags per task.
boostN app blog: hands-on articles on AI workflows, product updates and app insights.
My Bulk Content Engine now pauses and resumes at any point, because the orchestrator maintains its own context — plus RAG tags per task.
With agy headless, --model is silently ignored if it comes after -p. The undocumented fix: --model must come before -p.
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.
Three frontier models, the same 1000-line script, three different finding lists — and why that very spread makes multi-orchestration strong.
One word, two meanings: I blocked a Git commit, the AI heard deploy. Why a shared vocabulary decides everything when you work with AI.
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.
Headless agents on your own machine, fed by the subscription you already pay for instead of an API bill — how boostN orchestrates many models.
How 'surely there's a key to just speak?' turned, step by step, into my own tool for voice input while working with Claude. An origin story.
A growing JSONB blob froze our editor. The suspect was harmless, the real cause counterintuitive: reading failed, not saving. A debugging detective story.
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.
Every tiny edit pushed hundreds of kilobytes through the wire. After two full database moves, we finally treated the architecture instead of the symptoms.
Fable 5 fixed a bug in one shot that Opus failed at twice. I'm still not switching. My honest impressions from the trenches after three days.
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.
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.
Raw HTML mockups burn tokens before the AI even understands them. A strip step on the server cut one file from 26,900 to 650 tokens.
Our speech recognition kept chopping off half the sentence up front. The culprit wasn't the mic — it was the keyword glossary itself. Proven by an A/B test.
Effort scales breadth, deep thinking scales depth. When each setting makes sense — with three clear examples and one rule of thumb.
Provider comparison mid-2026: who has a headless mode, whose subscription still covers it — and why BYOK is the most stable foundation.
Why dictated text got swallowed, how SoX normalization and a model switcher fixed it — and what is actually happening under the hood.
How we tuned Whisper-small with 90 data points, two AI prompts and a personalised keyword glossary — copy-paste templates included.
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.
AI providers are pushing flat rates toward metered billing. Why it had to happen, what it costs and three levers that soften the shift.
Real numbers from a customer setup with Claude Sonnet. What prompt caching delivers, when it pays off — and where the pitfalls are.
You write rules, curate memories, build guidelines — and a week later you're going in circles again. Why that is, and what actually helps.
Fast Mode for Opus 4.6 is now extra-usage only. Here's how to enable it — and what it really costs you.
What we see after several weeks on Opus 4.7 in practice — token appetite, overachieving, and concrete levers to push back.