Recursive Harness: Self-Improving Agents Without Training
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 [[{“value”:”How to build a self-evolving agent harness: the agent starts with three tools (shell, read, write) and grows its own tools, lifecycle hooks and memory while it works, on the Gemini Interactions API. I walk through the three-zone architecture, then test it against a frozen harness on web apps, silent bug-report videos and a custom binary format, and show when a self-evolving harness pays off and when it bloats itself.

Fish Audio Drama 3 (API): https://fish.audio/?fpr=engineerprompt
Harness² Explained: https://youtu.be/pW2ktrJlsyE
Gemini 4 Argon, fully tested: https://youtu.be/yksrd5uNxcw
What is an Agent Harness?: https://youtu.be/nWzXyjXCoCE

This video is sponsored by Fish Audio. #FishAudio

0:00 Can an agent write its own harness?
2:22 What is an agent harness? Standard vs self-evolving
3:12 The three-zone architecture
5:20 Gemini Interactions API: swapping tools mid-task
6:37 create_tool and the unit-test gate
9:02 Lifecycle hooks (session_start, before_done) and memory
10:25 Hidden grader and secret broker
11:28 Sponsor: Fish Audio Drama 3
13:39 Round 1: evolving vs frozen harness on web apps
15:10 Round 2: frozen agent with no vision tools
16:48 Round 3: binary file format and harness bloat
18:31 When a self-evolving harness wins + 4 rules”}]] Read More Prompt Engineering 

#Promptengineering #AI

By ali

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