R0027/2026-03-26/Q003/S01
WebSearch — Major vendor prompt engineering guides and multilingual coverage
Summary
| Field |
Value |
| Source/Database |
WebSearch |
| Query terms |
"prompt engineering best practice guide multilingual non-English vendor guidelines OpenAI Anthropic Google" |
| Filters |
None |
| Results returned |
10 |
| Results selected |
5 |
| Results rejected |
5 |
Selected Results
| Result |
Title |
URL |
Rationale |
| S01-R01 |
Prompt engineering - OpenAI API |
https://platform.openai.com/docs/guides/prompt-engineering |
Official OpenAI guide |
| S01-R02 |
Prompt engineering overview - Claude API Docs |
https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview |
Official Anthropic guide |
| S01-R03 |
Prompt Engineering Guide (promptingguide.ai) |
https://www.promptingguide.ai/ |
Community guide available in 14 languages |
| S01-R04 |
Prompt design strategies - Google AI |
https://ai.google.dev/gemini-api/docs/prompting-strategies |
Official Google guide |
| S01-R05 |
One-Stop Developer Guide (DEV Community) |
https://dev.to/kenangain/one-stop-developer-guide-to-prompt-engineering-across-openai-anthropic-and-google-4bfb |
Cross-vendor comparison |
Rejected Results
| Result |
Title |
URL |
Rationale |
| S01-R06 |
Anthropic's Interactive Tutorial (GitHub) |
https://github.com/anthropics/prompt-eng-interactive-tutorial |
Tutorial not guide; English only |
| S01-R07 |
IBM 2026 Guide to Prompt Engineering |
https://www.ibm.com/think/prompt-engineering |
General guide, not focused on multilingual |
| S01-R08 |
Lakera Ultimate Guide |
https://www.lakera.ai/blog/prompt-engineering-guide |
Security-focused, not multilingual |
| S01-R09 |
Prompt Engineering Made Simple (Medium) |
https://medium.com/fintechexplained/prompt-engineering-made-simple-30ba8be5bf10 |
General guide, no multilingual content |
| S01-R10 |
AWS Prompt Engineering with Claude |
https://aws.amazon.com/blogs/machine-learning/prompt-engineering-techniques-and-best-practices |
AWS-specific, English only |
Notes
None of the major vendor guides (OpenAI, Anthropic, Google) prominently feature multilingual prompt engineering. The community guide (promptingguide.ai) is the only resource available in multiple languages.