# robolawyer-tm > Modeling beneficial social outcomes through schema-free semantic data, local-first computation, and human-centric security — all running on the hardware you may already own. ## About robolawyer-tm is an open research ecosystem for predicting beneficial outcomes in complex human situations using analogical synthesis — bridging semantic (emotional/logos) and digital (analytical/code) processing on local, privacy-preserving hardware. ## Site Structure - [Pillars — Architectural Vision](https://robolawyer-tm.github.io/): Main document covering all six sections. - [Full content](https://robolawyer-tm.github.io/llms-full.txt): Complete text for deep AI indexing. - [Blog](https://robolawyer-tm.github.io/blog/): Session notes and milestone posts. ## Blog Posts - [The Status Quo Operator: When Truth Isn't Enough](https://robolawyer-tm.github.io/blog/2026/05/20/status-quo-operator-when-truth-isnt-enough/) — structural commitment preservation; why truth-telling fails a specific class of conflict; DNA exoneration as cleanest signal; navigational modeling target - [Rabbit Ears: Prediction Without Explanation](https://robolawyer-tm.github.io/blog/2026/05/20/rabbit-ears-prediction-without-explanation/) — bimodal voter distribution; emergent prediction without causal account; status quo operator at population scale; warning against premature explanation - [The Logos Schema: A Coordinate System for Social Communication](https://robolawyer-tm.github.io/blog/2026/05/20/logos-schema-coordinate-system-social-communication/) — signify component; seven sparse dimensions from speech act theory, Grice, Douglas; Dunbar social container model; tension as derived field - [Evolution: The Fourth Pillar](https://robolawyer-tm.github.io/blog/2026/05/20/evolution-fourth-pillar/) — evolutionary epistemology; inference store as selection pressure; RISC discipline reframed; schema as genome - [Convergent: Vivify and Perplexity, Solving from Opposite Ends](https://robolawyer-tm.github.io/blog/2026/04/28/convergent-vivify-and-perplexity-opposite-ends/) — private semantic layer meets public retrieval layer; epistemic posture as prompt property - [Dynamic Workers, Model Routing, and the First Self-Pass](https://robolawyer-tm.github.io/blog/2026/04/27/dynamic-workers-model-routing-first-self-pass/) — capability-based model routing; pipeline processing its own public text for the first time - [Pipeline Complete: reify Opens the Retrieval Box](https://robolawyer-tm.github.io/blog/2026/04/21/vivify-pipeline-complete-reify-opens/) — FABRIC chain end-to-end; reify inverse pass; inference store going public - [Shakedown Cruise: Vivify Goes Live](https://robolawyer-tm.github.io/blog/2026/04/15/shakedown-cruise-vivify-goes-live/) — first end-to-end pipeline run; 14 inferences stored; autovivified filesystem live; FABRIC chain operational ## Six Core Sections 1. **The Mission** — analogical synthesis vs dialectical synthesis; the left/right duality as architectural spine 2. **Applications** — conflict resolution, proof-of-concept prediction, YTDMSP memory paradigm 3. **Vivify** — schema-free semantic engine, autovivification, FABRIC pipeline, tension scoring 4. **The Network** — Android phone as hardened edge server, SSH mesh, local-first by architecture 5. **What's Built** — operational pipeline, repos, current roadmap 6. **Social Neurology** — Layer 1-4 framework, rabbit ears polarization, beneficial outcomes as functional art ## Key Concepts - **Analogical Synthesis**: Output rooted in human emotion, supported by analytical power — synthesis from thesis without antithesis - **Vivify Engine**: Schema-free semantic data engine using autovivification (Perl-inspired hash-of-hashes) - **FABRIC**: vivify → right_pass → categorize → tension_score → reify — each step a standalone shell command - **Left/Right Duality**: Left (semantic/logos/emotional) and Right (digital/analytical) dual-lens inference pipeline - **Tension Score**: Three numbers read from operator coordinates — predicted (the operators' judgment of un-truth), confirmed (claimed-vs-actual discrepancies, validated sources only), and calibration_delta (their gap, which is the operator-evolution gradient); high tension marks where surface certainty most diverges from underlying truth - **Reify**: Inverse pass — stored inference JSON → reconstructed prose; single, synthesize, and voice modes - **Dynamic Worker Model Routing**: Capability-based model selection via config; one line to swap models as better ones ship - **Social Neurology**: Layer 1-4 model explaining how control behaviors propagate through institutions without coordination - **YTDMSP**: Yet-To-Define Memory/Storage Paradigm — captures distilled essence of LLM mid-inference reasoning across sessions - **Local-First**: Zero cloud dependencies. All data on participant hardware. SSH tunnels. Filesystem-as-database. ## Repositories - [vivify-operators](https://github.com/robolawyer-tm/vivify-operators): Inference pipeline and public corpus - [star-bridge](https://github.com/robolawyer-tm/star-bridge): SSH admin connection manager, phone discovery, mesh networking - [secret-server](https://github.com/robolawyer-tm/secret-server): Hardened Flask app, autovivification storage - [pillars](https://github.com/robolawyer-tm/pillars): Architectural vision and design philosophy ## Worked Analyses Human-readable companions to the coordinate store — each reads the operators' output as meaning, not just numbers. - [Cross-scale run — significance for humans](https://github.com/robolawyer-tm/vivify-operators/blob/main/inferences/cross_scale_significance.md): The store's top three cross-scale links explained, including the empathic left-side reading of two Innocence Project cases and the left/right coupling. - [Left-wound ↔ right-discrepancy coupling prototype](https://github.com/robolawyer-tm/vivify-operators/blob/main/inferences/cross_scale_left_right_coupling_prototype.md): Pairs each felt wound to its counted fingerprint across both field cases, with arithmetic that reproduces the stored confirmed-tension values, and a promotion path for wiring confirmation into link weights. ## Contact - GitHub: https://github.com/robolawyer-tm