§ split · edit · loop · real run
Split a success. Edit a project. Resume the loop.
~ > nightdesk split "ollama-rss-prompt-tune" "ollama-rss-prompt-tune-DEMO"
Splitting ollama-rss-prompt-tune → ollama-rss-prompt-tune-DEMO
Copying /home/user/.local/share/point53/nightdesk/projects/ollama-link-to-rss-looping → /home/user/.local/share/point53/nightdesk/projects/ollama-rss-prompt-tune-demo
✓ Created ollama-rss-prompt-tune-demo at /home/user/.local/share/point53/nightdesk/projects/ollama-rss-prompt-tune-demo
Fresh experiment track: results.tsv and knowledge base reset.
Run nightdesk test ollama-rss-prompt-tune-demo to verify.
~ > nightdesk edit "ollama-rss-prompt-tune-demo"
◈ Editing ollama-rss-prompt-tune-demo
Path: /home/user/.local/share/point53/nightdesk/projects/ollama-rss-prompt-tune-demo
Edit AI: anthropic / claude-opus-4-8
Courier: on-demand (model may emit GATHER: <query>; up to 3/turn)
Press Ctrl+D or type 'done' to exit.
Poke: There are currently just over 200 example links for the Ollama model testing. Update the reference so that there are at least 100 more links.
⚠ Sending content to remote endpoint (anthropic: https://api.anthropic.com). Web-harvested or sensitive content may be transmitted. Use a local model to avoid this.
⋮ 6 more edit turns · refine prompt.txt, tune scoring weights, re-run nightdesk test ⋮
Ctrl+D — exiting edit. Project ready to loop.
~ > nightdesk loop "ollama-rss-prompt-tune-demo" --max-iterations 8 --guardrails-warn --stop-plateau 0
No baseline yet — running initial baseline for ollama-rss-prompt-tune-demo...
✓ KEPT exp_000 score=352.00
╰─ baseline
models_tested=40.0, total_seconds=308.91
309.1s elapsed
✓ Baseline recorded: score=352.0
Starting loop on ollama-rss-prompt-tune-demo
Path: /home/user/.local/share/point53/nightdesk/projects/ollama-rss-prompt-tune-demo
Loop LLM: ollama / gemma4:e4b
Max iterations: 8
Plateau detection: disabled
Guardrails: all checks forced to 'warning' for this run
Begin? (y/n) y
◈ Loop started — max 8 iterations
Plateau detection: 0 experiments within 0.5% of best
Stop manually: nightdesk loop stop
Iteration 1/8
Asking LLM for hypothesis...
▸ Adding specific output delimiters like ```xml <?xml ...?> ...``` should force the model into a predictable, machine-readable format, mitigating parsing errors caused by stray model prose.
File: prompt.txt
✖ REVERTED exp_001 score=0.00 -100.0%
╰─ Adding specific output delimiters like ```xml <?xml ...?> ...``` should force the model into a predictable, machine-readable format, mitigating parsing errors caused by stray model prose.
models_tested=40.0, total_seconds=754.01
754.1s elapsed
✖ REVERTED exp_001 score=0.0000
Iteration 2/8
Asking LLM for hypothesis...
▸ The original prompt explicitly asks the model to output ONLY XML and lists requirements sequentially, but formatting the key instructions into a structured, markdown-like bulleted list may better guide the model's internal generation structure.
File: prompt.txt
✓ KEPT exp_002 score=360.00 +2.3%
╰─ The original prompt explicitly asks the model to output ONLY XML and lists requirements sequentially, but formatting the key instructions into a structured, markdown-like bulleted list may better guide the model's internal generation structure.
models_tested=40.0, total_seconds=190.65
190.8s elapsed
✓ KEPT exp_002 score=360.0000
⋮ iterations 3–8 · best held at exp_005 score=361.0 ⋮
Archive: /home/user/.local/share/point53/nightdesk/projects/ollama-rss-prompt-tune-demo/loops/21
◈ Loop complete
Iterations: 8
Best score: 361.0 (exp_005)
Stop reason: max_iterations
Result: max_iterations
8 iterations, best: 361.0 (exp_005)