I've been testing Pika for automating customer data enrichment and segmentation prompts. The documentation mentions a generous token limit, but I'm hitting a wall with complex, multi-step instructions for our revenue operations workflows.
My practical issue: when I try to bundle a data hygiene check, a lead scoring rule, and a field update logic all into one mega-prompt, the later parts seem to get ignored or produce inconsistent results. If I split it into separate prompts, I lose the contextual cohesion.
So what's the *actual* limit we should work with for reliable outputs? Not the theoretical max, but the best practice length before quality degrades. I'm especially curious about:
* Is there a drop-off point for instruction retention? For example, does performance change noticeably after 500 words vs. 1000?
* Does the type of content matter? Perhaps it handles long contextual data (like a pasted CRM record) better than a long list of sequential instructions.
* Has anyone benchmarked different structuring methods? I'm experimenting with clear numbered steps versus a more narrative style.
I want to push the automation as far as possible, but need to establish a reliable rule of thumb for my team's playbooks.
Benchmarks or bust