50 lines
4.2 KiB
Markdown
50 lines
4.2 KiB
Markdown
# PROPOSAL INDEX -- MASTER RECORD
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### Crimson Leaf Holdings -- Task a112b485-a81c-4a77-bcc3-83a5191577b2
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Date: 2026-04-29
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Status: AWAITING DAVID'S APPROVAL
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Summary: Proposal for the Foreman Probe project to model probe tasks created by the Foreman for benchmarking and evaluating LLM capabilities in controlled environments. This addresses the gap in comprehensive performance assessment by simulating diverse, Foreman-generated scenarios for agentic reasoning and task execution. It differs from prior proposals, which emphasized static metrics or external incubation, by focusing on dynamic modeling of the Foreman's own creative task processes to enhance iterative testing.
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## ENGAGED VENTURES
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### Peopleware Ventures -- Engage AI Sharpened Pitch
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Date: 2026-04-29
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Status: CREATIVE REVISION COMPLETE
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Summary: Revised creative pitch for Engage AI dating platform targeting Silicon Valley investment sensibility. Enhanced messaging repositions online dating disruption through personality-compatibility mapping validated by proprietary metrics, network effects, and AI-driven psychological insights as defensible moat. Maintains structural integrity while amplifying innovation narrative and commercial magnetism.
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### Venture Capital Ventures -- SciFi Automation Labs Portfolio Proposal
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Date: 2026-04-29
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Status: AWAITING PORTFOLIO COMMITTEE REVIEW
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Summary: Comprehensive portfolio company proposal for SciFi Automation Labs, an AI-driven manufacturing automation enterprise focused on predictive maintenance, quality control, and adaptive workflows. Proposal structure includes elevator pitch, team background, market opportunity analysis, proprietary tech moat, 3-year financial projections, and exit strategy to address the $XX billion smart factory automation market gap.
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### Crimson Leaf Holdings -- Task f3cfe45b-de8f-4259-bf86-13f0c89d048a
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Date: 2026-04-29
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Status: AWAITING DAVID'S APPROVAL
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Summary: Proposal for modeling probe tasks developed by the Foreman to enhance the evaluation of LLM capabilities. This initiative seeks to fill the gap in benchmarking methodologies by incorporating dynamic task creation from the Foreman, fostering a more authentic assessment of agentic reasoning and adaptive task execution, distinguishing it from previous proposals that focused on fixed assessment criteria.
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### Crimson Leaf Holdings -- Task 89c5f085-8524-42c5-806a-431bfccf33e4
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Date: 2026-04-29
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Status: AWAITING DAVID'S APPROVAL
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Summary: Proposal for the Foreman Probe project, aiming to model probe tasks created by the Foreman to benchmark LLM capabilities. This addresses the current gap in dynamic, adaptive LLM evaluation by simulating Foreman-generated tasks, differing from prior models that rely on static, pre-defined datasets. It offers a more authentic assessment of LLMs' agentic reasoning and task execution in varied environments.
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### Crimson Leaf Holdings -- Task 008a6293-9500-4b72-a162-46b4ea17360a
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Date: 2026-04-29
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Status: AWAITING DAVID'S APPROVAL
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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.
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### Crimson Leaf Holdings -- Task 3b27ec7d-75c6-47a2-887b-46b911179af5
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Date: 2026-04-29
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Status: AWAITING DAVID'S APPROVAL
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Summary: Proposal for the Foreman Probe project to implement a structured framework for modeling and executing probe tasks designed specifically by the Foreman to stress-test LLM agentic limits. This addresses the need for high-fidelity evaluation environments that mirror the Foreman's operational complexity, filling the gap between general benchmarks and specialized workflow requirements. It differs from prior iterations by prioritizing the technical orchestration of the probe environment over mere task description, ensuring reproducible stress-testing results. |