Get better answers, faster.

Six-to-twelve-minute reads, no jargon, no priesthood. Each guide is a concrete habit you can apply to your next chat.

• Prompting fundamentals.Five habits that make a frontier chat model feel three times sharper.
  7 MINOPEN →
• Keyboard-first LADLE.You can do 90% of LADLE from the keyboard alone.
  6 MINOPEN →
• Switching from ChatGPT.What actually changes, what you'll miss, what to migrate first.
  7 MINOPEN →

• Getting better code.Six habits that separate 'wrote some code' from 'wrote correct, idiomatic, testable code' — for engineers who use LADLE daily.
  8 MINOPEN →
• Writing with AI, honestly.The line between using AI as an editor and using AI as a ghostwriter — and why it matters for the writing that stays yours.
  6 MINOPEN →
• Working with files.200K tokens is a lot — but not infinite, and not always the right tool.
  7 MINOPEN →
• Research with citations.Cited web search only works if you use it like a source, not an answer.
  6 MINOPEN →
• Citations and verification.How to use LADLE's cited search well — and how to know when a citation is a pointer to check versus proof of a fact.
  7 MINOPEN →
• Prompt patterns that save usage.The habits that let you stay on Base longer — better answers with fewer tokens.
  7 MINOPEN →

• Designing with LADLE.How to get design mode to produce output that could pass for a small-agency deliverable.
  12 MINOPEN →
• Working with artifacts.Artifacts turn substantial assistant output into a versioned side panel.
  8 MINOPEN →
• Projects mastery.The single biggest quality lever in LADLE.
  9 MINOPEN →
• A well-tended memory list.Memory is off by default.
  7 MINOPEN →
• Custom instructions that actually work.The nine recipes we've seen work best across the LADLE user base.
  9 MINOPEN →
• Scheduled tasks that earn their keep.Eight tasks that consistently earn their place.
  7 MINOPEN →
• Sharing chats with integrity.LADLE makes chats trivially shareable.
  6 MINOPEN →
• Files workflows.Not 'you can attach files'; the specific patterns that make files with LADLE reliable — PDF reads that don't hallucinate, spreadsheets that add up, code across many files.
  8 MINOPEN →

• Building a second brain.Not a productivity-porn overhaul — a minimal, sustainable pattern for using LADLE Projects to remember what you'd otherwise forget.
  7 MINOPEN →
• LADLE for deep work.How to use an always-available AI assistant without letting it shred your focus.
  6 MINOPEN →

• Choosing a plan.A short guide to picking the right tier without paying for capacity you don't use — and knowing when Max is genuinely the right move.
  5 MINOPEN →
• LADLE for teams.A short guide to rolling LADLE out to a team so it actually gets used past week 2 — not the wistful 'we bought seats and nobody logs in' pattern.
  8 MINOPEN →
• Understanding the meal ledger.How your $20 becomes ten meals, published, verifiable.
  5 MINOPEN →
• Gifting LADLE.Who this is actually a good gift for, and who it isn't.
  5 MINOPEN →

• What is prompt caching?The feature quietly making AI subscriptions cheaper to run — how it works, why it matters, and what LADLE does with the savings.
  5 MINOPEN →
• Annual vs monthly — what changes.Annual is 10× the monthly price.
  4 MINOPEN →
• How the router picks a model.The decision that happens on every turn — Fast (Haiku) or Deep (Sonnet).
  4 MINOPEN →
• Web search: when to enable.A toggle in the composer, not a default.
  4 MINOPEN →
• Extended thinking: when to enable.The 'take your time' mode for Sonnet.
  4 MINOPEN →
• Temporary vs persistent chats.The composer's Temporary toggle looks small; the semantics are worth understanding.
  3 MINOPEN →
• Projects vs plain chats.A project is a container for related chats with shared setup.
  3 MINOPEN →
• Custom instructions vs memory.Both persist across your chats.
  3 MINOPEN →
• Fast vs Deep tier.One toggle in the composer, two very different models under the hood.
  3 MINOPEN →
• Why Sonnet, not Opus — deeper.The blog post gave the short version.
  6 MINOPEN →

• What is a token?The unit language models process.
  3 MINOPEN →
• Context window: what it actually feels like.The spec sheet says 200K tokens.
  4 MINOPEN →
• What makes a prompt bad.The five patterns that make replies worse than they need to be.
  4 MINOPEN →
• How to write a good prompt.The specific structure that turns lazy prompts into useful replies.
  4 MINOPEN →
• RAG for non-engineers.The pattern most 'chat with your docs' products use under the hood.
  4 MINOPEN →
• What 'hallucination' actually means.The failure mode where a model produces plausible-sounding false information with confidence.
  4 MINOPEN →
• Why LLMs still make math errors.A calculator would nail this.
  4 MINOPEN →
• What happens when a language model 'learns.'Modern chat models are trained in three phases.
  5 MINOPEN →
• Why bigger isn't always better.Intuition says the biggest model wins.
  4 MINOPEN →
• Why the same prompt gives different answers.Send the same message twice, get two different replies.
  3 MINOPEN →