From 21299ed1c5facb2a66645927003b9ac84d7fac1f Mon Sep 17 00:00:00 2001 From: PAE Date: Sat, 2 May 2026 00:40:53 +0000 Subject: [PATCH] index: add proposal {task.id} to proposal index --- deliverables/proposals/index.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/deliverables/proposals/index.md b/deliverables/proposals/index.md index d2c5d76..6fe1024 100644 --- a/deliverables/proposals/index.md +++ b/deliverables/proposals/index.md @@ -1,4 +1,5 @@ -# PROPOSAL INDEX -- MASTER RECORD +```text +# PROPOSAL INDEX -- MASTER RECORD ### Crimson Leaf Holdings -- Task a112b485-a81c-4a77-bcc3-83a5191577b2 Date: 2026-04-29 @@ -72,7 +73,8 @@ Summary: Proposal to enhance the Foreman Probe project by incorporating adaptive --- -### Crimson Leaf Holdings -- Task 91e70062-b06f-4d8a-8053-9e6fe4779955 +### Crimson Leaf Holdings -- Task 2442ac8f-6f0f-4f1b-8a22-626cfdfaea85 Date: 2026-04-29 Status: AWAITING DAVID'S APPROVAL -Summary: Proposal for the Foreman Probe project introducing a task distillation pipeline that extracts and refines probe tasks from Foreman's operational logs for LLM benchmarking. This fills the gap in utilizing historical Foreman data to create authentic, real-world probe tasks that capture nuanced task complexities. It differs from prior proposals by employing log-based distillation techniques for superior realism, scalability, and direct linkage to Foreman's actual task generation history, beyond mere simulation or templating. \ No newline at end of file +Summary: Proposal for the Foreman Probe project to benchmark and evaluate LLM capabilities by modeling probe tasks created by the Foreman. This addresses the gap in scalable LLM evaluations using customized evaluations. This differs from prior proposals by being focused on task generation by the Foreman AI. +``` \ No newline at end of file