feat: persona inference-time techniques, pricing pipeline overhaul, design system refresh, and simulations#36

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feat/persona-inference-time-techniques

Commits on May 20, 2026

feat: implement compartmentalized persona prompt system (Wang et al. 2024b)

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feat: add PB&J psychological scaffold enhancer for backstory rationalization (Joshi et al. 2025)

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feat: implement ID-RAG system for factual persona grounding (Tan et al. 2025)

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feat: implement evaluation pipeline - InCharacter interview + PICon interrogation

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test: add full-system integration tests for persona techniques

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test: add E2E verification tests for persona inference-time pipeline

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docs: add comprehensive documentation of persona inference-time system

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refactor: align persona psychographics with research-backed framework

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fix: update analysis prompt to leverage full Big Five + psychographic spec

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fix: use compartmentalized prompt compiler in analysis pipeline

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feat: integrate PB&J scaffold enhancement into persona generation pipeline

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fix: update FlowDialog to show 4 persona generation phases

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feat: wire ID-RAG into chat and analysis flows

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feat: add periodic persona re-grounding every 4 turns

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fix: use non-streaming persona generation by default

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Commits on May 21, 2026

fix: add domain calibration, scoring alignment, and recommendations

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fix: replace hardcoded domain calibration with AI-generated persona pricing context

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feat: add openness priming, intent funnel, and score rationales

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feat: swap to deepseek/deepseek-v4-flash with reasoning token support

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feat: swap legacy adapter defaults to deepseek-v4-flash

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fix: replace unsupported /s regex flag with [\s\S] for Turbopack compat

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fix: resolve build errors

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fix: replace hardcoded AI suggestion with LLM-generated persona-specific insight

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Commits on May 22, 2026

fix: debug reasoning token format + prevent 4th-wall anchor quoting

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fix: remove duplicate reasoning extraction code, accumulate across chunks

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Commits on May 24, 2026

fix(IdRagStore): remove duplicate private chunkBackstory and keep exported implementation

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feat(pipeline): wave 1 — types, ports, adapter renames, IdRag generalization

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feat(pipeline): wave 1 completion — finalize LlmServiceImpl wiring, update plan progress

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feat(pipeline): wave 2 batch A — sampling, variable count, chunkInterviewSignals

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feat(pipeline): wave 2 batch B — InterviewSignalExtractor, pooling, ngram utils

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feat(pipeline): wave 3 batch A — orchestrator, port createChatCompletion, IdRag wiring verified

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feat(pipeline): wave 3 — server action for pipeline trigger

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test(pipeline): wave 4 — unit + integration tests for all pipeline components

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chore(pipeline): final verification wave — all 4 reviewers APPROVE

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feat(ui): interview upload page with file drag-drop and pipeline integration

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Commits on May 25, 2026

feat(ui): persistent persona store with sidebar nav and batch history

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fix(ui): center main content, reuse PersonaProfilePanel, restore report button

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polish(app): align UI with design system spec, harden tokens and fix code quality

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Commits on May 26, 2026

fix(ui): resolve persona sheet layout bugs — close button overlap, unused download, chat offset

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refactor(ui): convert persona sheet from side panel to centered modal

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Commits on Jun 7, 2026

chore: add .DS_Store and logs/ to gitignore, untrack OS artifacts

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feat(design): refresh design system — cerulean blue accent, refined tokens, sonner toasts, button hierarchy

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refactor(chat): extract shared message parser, fix error handling in chat streams

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feat(pricing): overhaul pricing analysis pipeline with comprehensive logging, scouting improvements, and result persistence

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feat(browser): improve browser scouting with adaptive scrolling, lazy-load handling, and vision analysis overhaul

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feat(llm): refactor LLM service layer — OpenRouter adapters, improved retry, reasoning extraction, persona backstory generation

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feat(persona): add persona variation generation with Big Five trait sliders, inline streaming, and management

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feat(simulations): add simulations list and detail pages with progress polling and sidebar navigation

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refactor(ui): streamline dashboard layout, add AnalysisProvider, improve results-to-persona matching

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feat(pipeline): complete interview-to-persona pipeline with IdRag identity graph retrieval

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test: add comprehensive E2E and unit tests for pricing analysis, persona adapter, and pipeline

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chore: update dependencies, tsconfig, and vitest config

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ci: add opencode GitHub action for AI-assisted PR review

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chore: add netlify.toml with 5-min function timeout for LLM pipelines

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fix(pipeline): add heartbeat interval to prevent serverless function timeout during LLM batches

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feat(pipeline): add Netlify Background Function for long-running LLM pipelines (up to 15 min)

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fix: align InterviewUploadClient step type with background function (INGESTING -> COMPILING)

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fix(pipeline): import PipelineStore directly in background function instead of raw Blobs fetch

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