pae/crimson_leaf
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

index: add proposal {task.id} to proposal index

Browse Source
This commit is contained in:
PAE
2026-05-02 00:24:16 +00:00
parent 55832665ab
commit 36107e1f6c
1 changed files with 11 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
deliverables/proposals/index.md
View File

@@ -1,5 +1,4 @@
```text # PROPOSAL INDEX -- MASTER RECORD
# PROPOSAL INDEX -- MASTER RECORD
### Crimson Leaf Holdings -- Task a112b485-a81c-4a77-bcc3-83a5191577b2 ### Crimson Leaf Holdings -- Task a112b485-a81c-4a77-bcc3-83a5191577b2
Date: 2026-04-29 Date: 2026-04-29
@@ -43,23 +42,30 @@ Date: 2026-04-29
Status: AWAITING DAVID'S APPROVAL Status: AWAITING DAVID'S APPROVAL
Summary: Proposal for the Foreman Probe project to develop and model probe tasks generated by the Foreman for advanced LLM benchmarking and evaluation. It fills the gap in scalable, real-world LLM testing by creating a pipeline of Foreman-curated challenges that probe agentic reasoning, tool use, and long-horizon planning. This differs from prior proposals by introducing a modular task templating system derived from Foreman outputs, enabling customizable difficulty scaling and cross-domain adaptability not present in earlier static or simulation-focused approaches. Summary: Proposal for the Foreman Probe project to develop and model probe tasks generated by the Foreman for advanced LLM benchmarking and evaluation. It fills the gap in scalable, real-world LLM testing by creating a pipeline of Foreman-curated challenges that probe agentic reasoning, tool use, and long-horizon planning. This differs from prior proposals by introducing a modular task templating system derived from Foreman outputs, enabling customizable difficulty scaling and cross-domain adaptability not present in earlier static or simulation-focused approaches.
---
### Crimson Leaf Holdings -- Task e89c6cc6-b077-423f-b74a-0ac71cc6483c ### Crimson Leaf Holdings -- Task e89c6cc6-b077-423f-b74a-0ac71cc6483c
Date: 2026-04-29 Date: 2026-04-29
Status: AWAITING DAVID'S APPROVAL Status: AWAITING DAVID'S APPROVAL
Summary: Proposal for the Foreman Probe project which aims to model probe tasks created dynamically by the Foreman to benchmark LLM's agentic capabilities. This project addresses the critical gap in adaptive LLM evaluation methodologies. This approach differs from prior proposals by focusing on emulating the Foreman's task creation process for more real-world assessment of LLMs in dynamic environments. Summary: Proposal for the Foreman Probe project which aims to model probe tasks created dynamically by the Foreman to benchmark LLM's agentic capabilities. This project addresses the critical gap in adaptive LLM evaluation methodologies. This approach differs from prior proposals by focusing on emulating the Foreman's task creation process for more real-world assessment of LLMs in dynamic environments.
---
### Crimson Leaf Holdings -- Task f75e117d-cf95-4045-b8dc-4a7dedd2ce2a ### Crimson Leaf Holdings -- Task f75e117d-cf95-4045-b8dc-4a7dedd2ce2a
Date: 2026-04-29 Date: 2026-04-29
Status: AWAITING DAVID'S APPROVAL Status: AWAITING DAVID'S APPROVAL
Summary: Proposal for the Foreman Probe project, intending to model tasks generated by the Foreman, to enable better LLM benchmarking and evaluation processes. This addresses the gap in dynamically generated benchmarking tasks that allows LLMs to be tested against tasks created by the Foreman AI. This differs from prior proposals by focusing on modeling Foreman's task creation process directly. Summary: Proposal for the Foreman Probe project, intending to model tasks generated by the Foreman, to enable better LLM benchmarking and evaluation processes. This addresses the gap in dynamically generated benchmarking tasks that allows LLMs to be tested against tasks created by the Foreman AI. This differs from prior proposals by focusing on modeling Foreman's task creation process directly.
---
### Crimson Leaf Holdings -- Task 9091431f-0040-4e09-a73f-dfa8aab3df54 ### Crimson Leaf Holdings -- Task 9091431f-0040-4e09-a73f-dfa8aab3df54
Date: 2026-04-29 Date: 2026-04-29
Status: AWAITING DAVID'S APPROVAL Status: AWAITING DAVID'S APPROVAL
Summary: Proposal for the Foreman Probe project, which seeks to establish a standardized framework for capturing, categorizing, and executing Foreman-generated probe tasks. This addresses the gap in systematic LLM benchmarking by providing a consistent, scalable method for evaluating LLM performance across diverse, real-world scenarios. It differs from prior proposals by introducing a structured task management system that supports reproducibility, versioning, and iterative refinement of probe tasks. Summary: Proposal for the Foreman Probe project, which seeks to establish a standardized framework for capturing, categorizing, and executing Foreman-generated probe tasks. This addresses the gap in systematic LLM benchmarking by providing a consistent, scalable method for evaluating LLM performance across diverse, real-world scenarios. It differs from prior proposals by introducing a structured task management system that supports reproducibility, versioning, and iterative refinement of probe tasks.
### Crimson Leaf Holdings -- Task c7c2331c-216c-4432-8cde-ce99bf194abc ---
### Crimson Leaf Holdings -- Task f0a94bda-972c-4d26-9a54-5a9343ff93c5
Date: 2026-04-29 Date: 2026-04-29
Status: AWAITING DAVID'S APPROVAL Status: AWAITING DAVID'S APPROVAL
Summary: Proposal for the Foreman Probe project, aiming to model probe tasks created by the Foreman to benchmark and evaluate LLM capabilities. This addresses the gap in comprehensive LLM performance assessment by simulating diverse, Foreman-generated scenarios for agentic reasoning and task execution. It differs from prior proposals by focusing on dynamically modeling the Foreman's creative task processes rather than static metrics. Summary: Proposal to enhance the Foreman Probe project by incorporating adaptive learning mechanisms and real-time task generation. Aims to fill the gap in continuously evolving LLM evaluation methods. This proposal moves beyond static task generation by leveraging dynamic and adaptive elements, thus offering a more rigorous and scalable assessment environment for future LLM advancements. Distinguishes from previous models through its emphasis on continuous adaptability and iterative learning.
```