Jonathan KirkwoodandClaude Fable 5
b1d7aed9f4
- Deterministic scoring.py (quant 60 / qual 40 / flags -15, profitability heaviest) - Per-company JSON ledger with forecast-target chaining deck N-1 -> N - Single-shot sandbox agent with guided-JSON fallback ladder (no tool loop) - Portfolio dashboard with sparklines, KPI hit rates, BDEF category bars - 48 unit tests green; endpoints smoke-tested; npm check+build green Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
19 lines
846 B
TypeScript
19 lines
846 B
TypeScript
import { VersionInfo } from '@start9labs/start-sdk'
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/**
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* Initial release. ExVer form `<upstream>:<downstream>` — we track our own
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* packaging revision since Boardroom Map has no separate upstream semver.
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*/
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export const v_0_1_0 = VersionInfo.of({
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version: '0.1.0:0',
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releaseNotes:
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'Initial version — BDEF v1.1 deck grading with per-company scorecards. ' +
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'Drop board decks into inbox/<company-slug>/ and a panel of local LLMs on ' +
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'your DGX Sparks grades them against the BDEF framework (Girdley + ' +
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'Munger/Buffett); a deterministic scorer computes the 0-100 composite ' +
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'(quant 60 incl. profitability 30, qualitative 40, red flags to -15) and ' +
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'appends it to each company\'s running ledger. Default air-gapped mode ' +
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'keeps decks and grades entirely on your hardware.',
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migrations: {},
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})
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