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Documentation Index

Fetch the complete documentation index at: https://fromhazel.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

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How to get great answers from Hazel

Hazel understands natural language, so you don’t need to learn a special syntax. But a few small habits will dramatically improve the quality of your answers.

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Be specific about what you want

Vague questions get vague answers. Specific questions get specific answers.

Too vague

“How are we doing?”

Much better

“What was our revenue last week compared to the week before? Break down by new vs returning customers.”

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Give Hazel context about your business

Hazel knows ecommerce deeply, but it doesn’t know your specific constraints. Tell it what matters.
“We’re a seasonal apparel brand. We can’t launch new products in less than 8 weeks from design to shipping. Keep that in mind when making recommendations.”
“Our COGS are roughly MSRP divided by 4. Factor that in when analyzing margins.”
“We run deep promotional events twice a year where prices drop to near cost — exclude any sale price more than 30% below the median when analyzing pricing.”

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Ask for the format you want

If you want a table, say so. If you want a chart, ask for it. If you want bullet points for a leadership update, tell Hazel.
“Show this as a chart.”
“Give me a table with product name, revenue, units sold, and return rate.”
“Summarize this in 3 bullet points I can share with my team.”

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Start with the baseline

When asking for analysis, tell Hazel to anchor on your overall numbers first. This makes the insights much more useful.
“For reference, start by showing our overall LTV and repeat purchase rate. Then show me which products beat those numbers.”

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Ask for enough detail

Don’t settle for high-level summaries when you need granularity. Tell Hazel how deep to go.
“Show me at least 25 products, not just the top 5.”
“Break this down by variant if there are meaningful pricing differences between colors or sizes.”
“Don’t just give me categories — give me specific product recommendations.”

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Use follow-ups

Hazel remembers everything within a thread. Your best answers often come from follow-up questions.
  1. Start broad: “What’s driving the change in our AOV this month?”
  2. Drill in: “Show me the specific products contributing to that shift.”
  3. Get actionable: “Which of those should I feature in next week’s email campaign?”

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Use Memory for things you repeat

If you find yourself adding the same context to every prompt — metric definitions, product exclusions, fiscal year start dates — put it in Memory once and it applies everywhere. Good candidates for Memory:
  • Metric definitions — “Net revenue means gross revenue minus refunds and discounts”
  • Exclusions — “Always exclude gift cards and free samples from revenue calculations”
  • Business rules — “We consider a customer ‘new’ if they’ve placed exactly one order”
  • Historical context — “We migrated platforms in May 2025, so order dates before that may show the migration date instead of the original order date”

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Start a new thread for new topics

Hazel works best when a thread stays focused on one topic. If you’re switching from “marketing performance” to “subscription churn,” start a fresh thread. This keeps Hazel focused and avoids hitting conversation length limits.
When in doubt, just ask. You can’t break anything. If Hazel’s first answer isn’t quite right, give it more context and ask again — it learns within the conversation.
Next up: Learn the difference between Ask and Deep Thinking to pick the right mode for your question.