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yagebin79386/README.md

Ruiqi Tan

AI-Native Superindividual Product Systems Builder · Silicon Awakening

I build and document governed AI systems that let one person research, decide, build, market, and operate real products. The through-line in everything below is the same: agents do the work, but every outward-facing or irreversible step passes a human-gated approval with a decision record behind it.


What I actually work on

Governed agent operating system. A multi-agent runtime where scheduled work is declared in a manifest and supervised by a registry-and-verifier pair, changes reach production through GitOps reconciliation with syntax gates and automatic rollback, and any externally-visible action is stopped at a fail-closed approval card. Expiry means not approved — a timeout never reads as consent.

Human-gated decision surface. Approval cards, typed decision records, and blocked-task escalation, so an autonomous system can run unattended without ever silently deciding something a human should own.

Provenance-first content and evidence. Marketing and research output grounded in a product-context document and an entity graph, with claims traceable to artifacts rather than to model recall.

Measurement as a first-class lane. Weekly deterministic quality rollups gate whether an expensive LLM review is warranted at all; delayed outcome signals only influence anything after enough observations exist. Quiet weeks cost nothing.

Things I have shipped or run

Stage
SA-OS + Hermes — governed multi-agent operating system, running my own operations daily implemented
Wakeworth — SME valuation and matchmaking platform production
AI Educator — structured problem-solving and learning system production
Mindscast — product-grounded marketing content platform in development
Vigaro — multi-agent dynamic defense architecture stage

Most of these run as private products. What I open here are the mechanisms — the governance, scheduling, and approval machinery that makes one-person operation of several products survivable.

Public work

  • schedule-sentinel — registry plus verifier that proves every scheduled machine is still alive, and catches drift between the registry and the scheduler in both directions. Extracted from the operations layer above. Stdlib only.
  • awesome-governed-agents — curated tools and prior art for agents whose consequential actions pass approval gates, policy checks, and auditable decision records.
  • openclaw-disk-cleanup — governed disk-reclaim agent skill for self-hosted VPS ops; dry-run by default, audited reclaim report.

More mechanism slices are being prepared for release.


📍 Luxembourg · ✍️ siliconawakening.tech · 💼 LinkedIn

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  1. Mistral7B-finetune-Chatbot-smart-home Mistral7B-finetune-Chatbot-smart-home Public

    Mistral-7B fine-tuned requirements-intake chatbot for smart-home solution scoping, with general Q&A over the same domain.

    Python

  2. Job_Match_Analyzer_with_RAG Job_Match_Analyzer_with_RAG Public

    Job-posting fit scoring pipeline — scrapes listings, queries a personal RAG store for relevant experience, and scores match with an LLM.

    Python

  3. AI_News AI_News Public

    Automated AI newsletter pipeline — scheduled source collection, LLM categorisation and rephrasing, static digest generation.

    HTML

  4. Hybride_AI_Soup_Webscrapper Hybride_AI_Soup_Webscrapper Public

    Hybrid news scraper — BeautifulSoup extraction with an LLM fallback for pages where selectors break.

    Python 1