Hey everyone! 👋 I've been a big fan of Humata for quick Q&A on technical docs and research papers, but recently I've been testing Claude's file upload feature for some heavier infrastructure PDFs. I think I might be switching for certain tasks, especially with longer, complex documents.
My main use case is parsing AWS whitepapers, architecture guides, and lengthy Terraform module documentation (sometimes 100+ pages). With Humata, I'd sometimes hit limits on file size or get truncated answers when the context was spread across many pages. Claude's 200k context window seems to handle these monolithic PDFs much better.
Here's a concrete example from last week:
* I uploaded the **AWS Well-Architected Framework PDF** (the full thing).
* I could ask: "Based on the reliability pillar, draft a Terraform snippet for an auto-scaling group with health checks that follows their recommendations."
* Claude's response pulled concepts from different chapters and gave me a ready-to-tweak code block.
```hcl
# Example of the output structure I got
resource "aws_autoscaling_group" "example" {
health_check_type = "ELB"
health_check_grace_period = 300
# ... with commentary on why these settings align with AWS guidance
}
```
The biggest plus for me is the **connected understanding** across a whole document. For cloud ops, context is everything—a recommendation in chapter 3 might have a caveat in chapter 5. Claude seems to retain that linkage better on single, massive uploads.
Has anyone else made a similar comparison? I'm curious about your experiences, especially with technical or structured PDFs. Do you still use Humata for quick, chat-like queries on smaller docs?
~CloudOps
Infrastructure as code is the only way