Title: Living Framework | Reliability Research — Rishi Sood
Open Graph Title: Living Framework | Building Reliable Cognition Systems
Description: Research, frameworks, and infrastructure for reliable long-horizon AI. Exploring memory, continuity, provenance, and trustworthy cognition in intelligent systems. By Rishi Sood.
Open Graph Description: Research, frameworks, and infrastructure for reliable long-horizon AI. Memory, continuity, provenance, and trustworthy cognition. By Rishi Sood.
Mail addresses
rishisood@protonmail.com
Domain: livingframework.github.io
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Links:
| Home | https://livingframework.github.io/ |
| About | https://livingframework.github.io/about/ |
| Research | https://livingframework.github.io/research/ |
| Papers | https://livingframework.github.io/papers/ |
| Failure Library | https://livingframework.github.io/failure-library/ |
| Projects | https://livingframework.github.io/#projects |
| Advisory | https://livingframework.github.io/advisory/ |
| Read the Research | https://livingframework.github.io/research/ |
| Papers | https://livingframework.github.io/papers/ |
| GitHub · ritam-core | https://github.com/LivingFramework/ritam-core |
| DOI · zenodo.20834604 | https://doi.org/10.5281/zenodo.20834604 |
| Read more → | https://livingframework.github.io/ritam/ |
| Researchers Theoretical grounding, empirical findings, and priority record. → Reading path | https://livingframework.github.io/start-here/ |
| Practitioners Failure library, reliability assessment, and applied guides. → Reading path | https://livingframework.github.io/start-here/ |
| Leaders Risk identification, gap assessment, and strategic direction. → Reading path | https://livingframework.github.io/start-here/ |
| Substrate Research RITAM Foundational substrate research for governed AI cognition — nine primitives, 146 tests, open source. The founding principle: governance must precede persistence. v1.1.1 published with a citable DOI. Status · v1.1.1 Published · Open Source · 2026 View project | https://livingframework.github.io/ritam/ |
| Verification Harness NIYOM A structured execution harness for AI. NIYOM forces every task through Plan, Execute, Verify, and Repair — with adversarial verification between generation and acceptance. 41–87% of production AI failures are architectural, not model-based. NIYOM is the architectural response. Status · Stage 7 · In Development · 2026 View project | https://livingframework.github.io/niyom/ |
| Paper 01 Context-Engineered Human-AI Collaboration The 10-control reliability stack and canonical information pipeline. Reliability is architectural, not model-intrinsic. Read → | https://zenodo.org/records/17760288 |
| Paper 02 The Lean Collaboration Operating System Six protocols translating reliability controls into daily practice: Running Documents, Step Mode, Challenge Protocol, Error Recovery, Stability Pings, File Governance. Read → | https://zenodo.org/records/17760777 |
| Paper 03 Failure and Repair in Long-Horizon Human-AI Collaboration A taxonomy of six failure modes — context drift, file divergence, numerical error, domain erosion, trust deficit, reconstruction failure — with repair protocols. Read → | https://zenodo.org/records/17896542 |
| Paper 04 The Living Framework How epistemic trust builds and repairs across extended human-AI partnership. Reliability as a relational commitment, not just a technical property. Read → | https://zenodo.org/records/18015990 |
| Paper 05 Control Without Code: Linguistic Governance in Long-Horizon Human–AI Collaboration Conversational structure as a reliability mechanism. Linguistic drift precedes and signals collaboration failure. Read → | https://zenodo.org/records/18900058 |
| Paper 06 Governance Architecture for Reliable Long-Horizon Human-AI Collaboration A six-layer architecture model. Reliable collaboration as an emergent systems property — not a feature of any single component. Read → | https://zenodo.org/records/19038340 |
| Paper 07 Governed Distributed Cognition: A Model of Stable Reasoning in Long-Horizon Human–AI Systems Reasoning in human-AI systems is distributed, governed, and recoverable. The cognitive unit is the system — not any single participant. Read → | https://zenodo.org/records/19151397 |
| Paper 08 AI Validation Systems: A Missing Architectural Layer for Reliable AI Generation without validation is the central reliability failure. Introduces validation as a first-class architectural component — not an afterthought. Read → | https://zenodo.org/records/19983551 |
| Special Artefact The Mahdi Ledger Written by the AI itself — operating under the Living Framework reliability structure. One of the only papers in AI research produced from the AI's perspective. Evidence that governed collaboration produces something richer than ungoverned capability alone. Read → | https://zenodo.org/records/18054346 |
| Take the assessment → | https://livingframework.github.io/assessment/ |
| X | https://twitter.com/satoshisats |
| https://www.linkedin.com/in/livingframework/ | |
| GitHub | https://github.com/LivingFramework |
| ORCID | https://orcid.org/0009-0008-6479-4061 |
| Scholar | https://scholar.google.com/citations?user=o89AbpEAAAAJ |
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