Uploaded May 2026 | Updated September 2026, 2 weeks ago
Thanks to DataImpluse for sponsoring this video: dataimpulse.com/?utm_source=youtube&utm_medium=video&utm_campaign=engineerprompt
Two new papers from Stanford and Tsinghua just put hard numbers on something most agent builders have been feeling — the orchestration code wrapping your LLM now drives more performance variation than the model itself. Same model, six-times the gap, depending entirely on what researchers are calling the harness. If you build agents, the lever you should be pulling is almost never the one you've been reaching for.
LINKS:
Tsinghua University: arxiv.org/abs/2603.25723
Stanford University: arxiv.org/abs/2603.28052v1
My voice to text App: whryte.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
00:00 Harness Beats Model
01:12 What Is a Harness
02:44 What's wrong with Harness Today
04:02 Ablations and Compute Costs
05:25 Natural Language Migration Win
06:29 Sponsor Data Impulse
08:02 Meta Harness Auto Optimization
10:00 Transferable Harness Insight
11:31 Subtraction Principle
13:12 Audit Checklist for Builders
Thanks to DataImpluse for sponsoring this video: dataimpulse.com/?utm_source=youtube&utm_medium=video&utm_campaign=engineerprompt
Two new papers from Stanford and Tsinghua just put hard numbers on something most agent builders have been feeling — the orchestration code wrapping your LLM now drives more performance variation than the model itself. Same model, six-times the gap, depending entirely on what researchers are calling the harness. If you build agents, the lever you should be pulling is almost never the one you've been reaching for.
LINKS:
Tsinghua University: arxiv.org/abs/2603.25723
Stanford University: arxiv.org/abs/2603.28052v1
My voice to text App: whryte.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
00:00 Harness Beats Model
01:12 What Is a Harness
02:44 What's wrong with Harness Today
04:02 Ablations and Compute Costs
05:25 Natural Language Migration Win
06:29 Sponsor Data Impulse
08:02 Meta Harness Auto Optimization
10:00 Transferable Harness Insight
11:31 Subtraction Principle
13:12 Audit Checklist for Builders
