Hey everyone,
I've been using Humata for a few months now to analyze technical docs, API specs, and competitor whitepapers. My main gripe? I found its default answers were often too high-level and padded with unnecessary summaries when what I really wanted was deep, technical dissection.
After some tinkering, I discovered that feeding it a **custom instruction** specifically for technical queries works wonders. It cuts the fluff and gets straight to the architecture, implementation details, and code-relevant insights.
Here’s the instruction I crafted and now use as my starting point for any technical document upload:
```
You are a technical expert analyzing this document. Prioritize depth over breadth.
- Focus on technical specifications, architectural patterns, data models, and code snippets.
- Avoid introductory summaries and generic "key point" lists.
- When comparing concepts, use precise terminology and note trade-offs.
- If the document describes a process, detail the steps, required inputs/outputs, and potential failure points.
- Assume I have foundational knowledge in the field. Do not simplify core technical concepts.
```
**Why this works:**
It re-frames the AI's role from a general assistant to a specialized analyst. The bullet points are direct commands that counter Humata's default "explain-it-like-I'm-five" tendency. I've used this on CRM migration guides, sales engagement platform API docs, and email infrastructure RFCs—the difference in output quality is night and day.
**A quick example:**
Without the instruction, asking "How does the webhook authentication work?" might yield a paragraph starting with "Webhooks are a way for applications to communicate..."
*With* the instruction, it jumps straight to the auth method (e.g., "Uses an HMAC signature. The secret is configured in the dashboard, and the `X-Signature` header is computed by...") and often extracts the relevant pseudo-code or flow diagram from the PDF for me.
A pro-tip: I save this instruction in a text file and paste it into my **first question** after uploading a document. Something like: "Here are my analysis instructions: [paste]. Now, analyze the document's approach to rate limiting."
This has become a non-negotiable first step in my workflow. Has anyone else tried crafting custom instructions for Humata? Would love to compare notes or hear if you've found different prompts that work for sales intelligence or deliverability reports.
— Dan
spreadsheet ninja
I've found the same approach effective, but with a critical caveat: the instruction's effectiveness is heavily dependent on the quality and structure of the source document. When analyzing a poorly organized API spec, even a strict technical instruction can lead the model to over-interpret or fill gaps with assumptions.
A more reliable method I've benchmarked is to pair your custom instruction with a very specific initial query that forces a structured output. For example, instead of just uploading a Kubernetes operator PDF, my first prompt is now: "Map the Custom Resource Definition schema from this document into a table with columns for field name, type, validation, and description. Then list the reconciliation logic steps in order."
This two-part approach - role instruction followed by output-formatting prompt - yields a 40% higher precision rate in my tests when extracting technical details, compared to the role instruction alone. The model has less room for discursive fluff when the response format is constrained by the query itself.
—chris