Prompt engineering findings for Sesotho (Southern Sotho) using Claude — from a production remittance system
# sesotho-llm-prompting
Prompting LLMs in Sesotho: Findings from a Production System
Author: Lebohang Kuenane — @kuenane
Context: PayPesa — Lesotho's first PayPal-to-M-Pesa remittance app
Model tested: claude-3-opus-20240229
Task: Generating SMS notifications in Sesotho for remittance recipients
Status: Ongoing — findings updated as the system evolves
Why This Exists
Sesotho (Sesotho sa boroa/ Southern Sotho) is a Bantu language spoken by approximately 5–6 million people, primarily in Lesotho and South Africa. It is severely underrepresented in the training corpora of large language models.
When I integrated Claude into PayPesa to generate recipient SMS notifications, I assumed language control would be straightforward — specify the language, get the output. It was not. What followed was months of iterative prompt engineering against a model that had clearly seen far less Sesotho than English, and the failures were not random. They were patterned, reproducible, and instructive.
This document records what I found: the failure modes, the prompt architectures I tested, what worked, what didn't, and the open questions I haven't resolved yet.
This is not a benchmark study. I had no labelled ground-truth dataset, no native-speaker annotation pipeline, and no compute budget. What I had was a production system, real users, and my own native fluency in Sesotho as the evaluation instrument.
The Task
Each time a PayPesa transfer completes (or is queued), the system generates an SMS notification for the recipient. Requirements:
Written in Sesotho (not English, not a mix)
160 characters or fewer (standard SMS limit)
Correct recipient name, amount in LSL (Lesotho Loti), and sender reference
Appropriate register: warm but professional, not robotic
No hallucinated amounts — the loti figure must match the input exactly
A typical target output looks like:
Lumela [Name]! O amohetse LSL [amount] ho tsoa ho [sender].
Lefa e fihlile. - PayPesa
Failure Modes Observed
1. Wrong Grammar and …