Bendik Aagaard LynghaugandClaude Fable 5.1
b6bdac6f62
`portal-trainer generate` turns a plain-words business intake into a content repo in three phases, each held to portal's question_lint: needs.yaml (then frozen, so the generator cannot weaken the spec to pass), structure (revised against the lint's findings until green), and wording (personas answered blind, misroutes fed back; a rewrite that breaks structure is reverted). Model output is written to disk only under aggregates.yaml, site.yaml and questions/**.yaml. `portal-trainer answer` is the blind answerer alone. The LLM is an external command, prompt on stdin, text on stdout: engines/ollama.sh (local Ollama), engines/anthropic.sh (API key), engines/mailbox.sh (hand each prompt to an agent or a person). portal-portal/ is the onboarding site as a portal content repo: the front door is the intake interview, records land in `onboardings` (open -> drafted <-> revising -> live | declined), and it passes its own needs spec. runs/uhhm-2026-09-21/ollama: qwen3:8b and granite4.1:8b as blind answerers on the same eight tasks. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01L4jrCgLiKKHAEFuZUJjckH
12 lines
286 B
TOML
12 lines
286 B
TOML
[package]
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name = "portal-trainer"
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version = "0.1.0"
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edition = "2021"
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description = "Generates a portal content repo from a business intake, held to portal's question_lint"
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[dependencies]
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anyhow = "1"
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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serde_yaml = "0.9"
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