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

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PAE
2026-05-01 19:38:05 +00:00
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@@ -41,7 +41,7 @@ Date: 2026-04-29
Status: AWAITING DAVID'S APPROVAL Status: AWAITING DAVID'S APPROVAL
Summary: Proposal for the Foreman Probe to develop a suite of automated, selfevaluating probe tasks that simulate endtoend construction project management scenarios, enabling continuous LLM performance monitoring. This fills the gap in realtime validation of LLM reasoning within the Foreman's operational pipeline, differing from prior proposals by focusing on dynamic, selfupdating probes rather than static task definitions. Summary: Proposal for the Foreman Probe to develop a suite of automated, selfevaluating probe tasks that simulate endtoend construction project management scenarios, enabling continuous LLM performance monitoring. This fills the gap in realtime validation of LLM reasoning within the Foreman's operational pipeline, differing from prior proposals by focusing on dynamic, selfupdating probes rather than static task definitions.
### Crimson Leaf Holdings -- Task 715916c1-fc48-4c94-bd4d-c23021af7419 ### Crimson Leaf Holdings -- Task 17935379-986b-456a-b612-ed4346b665d6
Date: 2026-04-29 Date: 2026-04-29
Status: AWAITING DAVID'S APPROVAL Status: AWAITING DAVID'S APPROVAL
Summary: Proposal for the Foreman Probe to establish a unified framework for integrating and validating LLM capabilities across all Foreman-generated workflows. It fills the gap in cross-domain performance evaluation by ensuring consistency and coherence in how LLMs are tested and applied across different project types, differing from prior proposals that focused on isolated benchmarks, construction-specific workflows, or self-evaluating probes. Summary: This proposal outlines the creation of advanced, adversarial probe tasks designed to deliberately stress-test the failure modes of complex agentic systems. It addresses the critical gap in preemptive failure identification by moving beyond mere success/failure rates to quantify logical decay across multi-step processes. This differs from previous efforts by systematically modeling common points of operational breakdown that are difficult to observe during standard execution testing.