MervinPraison/PraisonAI
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Merge pull request #6247 from MervinPraison/docs/readme-exam-wording

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docs(readme): say what the handover test tests
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praisonai-triage-agent[bot] authored and GitHub committed 2026-11-05 08:57:04 +00:00
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README.md
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@@ -96,12 +96,12 @@ vLLM and LM Studio work the same way: use `hosted_vllm/` (vLLM) or `lm_studio/`
## How the handover works (early access)
1. **Watch:** records how each task is done today.
2. **Test:** turns that real work into tests.
2. **Test:** your own AI takes an exam made from real past work it never studied.
3. **Hand over:** a task moves to your own AI only when it passes.
4. **Roll back:** if quality drops, the task moves back automatically.
5. **Record:** every handover leaves a record your regulator can check.
**What is "your own AI"?** An open model, such as Llama, Qwen or Gemma, running on your own computers. Use it as it is, or train it on your own past work with [PraisonAI Train](https://praison.ai/docs/train) on your own GPU servers. Your team decides when to train; nothing trains automatically. Either way, a task moves to it only after it passes its tests.
**What is "your own AI"?** An open model, such as Llama, Qwen or Gemma, running on your own computers. Use it as it is, or train it on your own past work with [PraisonAI Train](https://praison.ai/docs/train) on your own GPU servers. Your team decides when to train; nothing trains automatically. Either way, a task moves to it only after it passes that exam.
Highly regulated teams, such as banks, insurers and hospitals, want AI but can't send customer data to outside models. From 6 January 2027, OpenAI also takes no new self-serve fine-tuning jobs ([notice](https://developers.openai.com/api/docs/deprecations)), so teams that customise models need models they own. The handover lets these teams move work to AI they own, one task at a time, with a record that shows why each step was trusted.
src/praisonai/README.md
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@@ -96,12 +96,12 @@ vLLM and LM Studio work the same way: use `hosted_vllm/` (vLLM) or `lm_studio/`
## How the handover works (early access)
1. **Watch:** records how each task is done today.
2. **Test:** turns that real work into tests.
2. **Test:** your own AI takes an exam made from real past work it never studied.
3. **Hand over:** a task moves to your own AI only when it passes.
4. **Roll back:** if quality drops, the task moves back automatically.
5. **Record:** every handover leaves a record your regulator can check.
**What is "your own AI"?** An open model, such as Llama, Qwen or Gemma, running on your own computers. Use it as it is, or train it on your own past work with [PraisonAI Train](https://praison.ai/docs/train) on your own GPU servers. Your team decides when to train; nothing trains automatically. Either way, a task moves to it only after it passes its tests.
**What is "your own AI"?** An open model, such as Llama, Qwen or Gemma, running on your own computers. Use it as it is, or train it on your own past work with [PraisonAI Train](https://praison.ai/docs/train) on your own GPU servers. Your team decides when to train; nothing trains automatically. Either way, a task moves to it only after it passes that exam.
Highly regulated teams, such as banks, insurers and hospitals, want AI but can't send customer data to outside models. From 6 January 2027, OpenAI also takes no new self-serve fine-tuning jobs ([notice](https://developers.openai.com/api/docs/deprecations)), so teams that customise models need models they own. The handover lets these teams move work to AI they own, one task at a time, with a record that shows why each step was trusted.