Historical Activity Log - 2026-01-29

January 29, 2026 routine

historical

28 commits 6 repos 2398 files changed

Précis

Descriptive Summary

Analytical Summary

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The Voices

— Ego

— Id

— Superego

— Anima

— Animus

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Workspace Activity

28 commits across 6 repos in 3 organs since Jan 29, 2026.

ORGAN I — Theoria

• narratological-algorithmic-lenses (1 commits): ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Implement Phase 4: Wire CLI commands to core library 2 │ 3 │ LLM Providers (packages/core/src/narratological/llm/providers.py): 4 │ - Add OllamaProvider for OSS-first local LLM support 5 │ - Uses OpenAI-compatible API (works with Ollama, LiteLLM, vLLM, LocalAI) 6 │ - Add base_url parameter to OpenAIProvider for custom endpoints 7 │ - Update get_provider() factory to include “ollama” option 8 │ 9 │ Script Parser (packages/cli/src/narratological_cli/parser.py): 10 │ - Add parse_script() with scene detection via INT./EXT. sluglines 11 │ - Add parse_beat_map_json() for pre-analyzed beat map JSON files 12 │ - Add script_to_diagnostic_context() for conversion 13 │ - Add load_input() unified loader for both script and JSON files 14 │ 15 │ LLM Configuration (packages/cli/src/narratological_cli/llm_config.py): 16 │ - Add get_provider() with unified flag handling 17 │ - Support –provider, –model, –base-url options 18 │ - Environment variable checking (ANTHROPIC_API_KEY, OPENAI_API_KEY, OLLAMA_HOST) 19 │ - OSS-first priority (ollama default, no API key needed) 20 │ 21 │ CLI Commands Wiring: 22 │ - diagnose.py: Wire causal, reorder, necessity, framework, all to DiagnosticRunner 23 │ - analyze.py: Wire script, scene, compare, batch to report generators 24 │ - generate.py: Wire outline, beats, character, transformation to LLM generation 25 │ - algorithm.py: Update run command with –model and –base-url options 26 │ 27 │ CLI Test Suite (packages/cli/tests/): 28 │ - conftest.py: Fixtures for sample scripts and beat maps 29 │ - test_parser.py: 16 tests for parser module 30 │ - test_llm_config.py: 10 tests for LLM configuration 31 │ - test_commands.py: 21 tests for CLI commands 32 │ 33 │ Tests: 290 tests passing (243 core + 47 CLI) 34 │ 35 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────

ORGAN III — Ergon

• my-block-warfare (5 commits): ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Add comprehensive roadmap and evaluation documentation 2 │ 3 │ There & Back Again Roadmap (docs/roadmap/there-and-back-again.md): 4 │ - Complete 24-week development journey from foundation to scale 5 │ - Phase-by-phase breakdown with week-by-week task details 6 │ - ASCII architecture diagrams for all major systems 7 │ - Detailed technical specifications for each service 8 │ - Resource estimates and team scaling plans 9 │ - Risk matrix with mitigations 10 │ - Appendices with technology decisions and glossary 11 │ 12 │ Evaluation-to-Growth Report (docs/evaluation/evaluation-to-growth-report.md): 13 │ - Four-phase analysis: Evaluation, Reinforcement, Risk, Growth 14 │ - Strength/weakness assessment with severity ratings 15 │ - Internal consistency and logic verification 16 │ - 59-test coverage analysis with gap identification 17 │ - Blind spot analysis (accessibility, offline, moderation, i18n, legal) 18 │ - Shatter point deep dives (integration tests, spoof detection) 19 │ - Emergent themes and expansion opportunities 20 │ - Project health scorecard and risk register 21 │ 22 │ Both documents provide comprehensive project guidance for current 23 │ and future development phases. 24 │ 25 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Add test suite, CI pipeline, Unity scaffold, and project README 2 │ 3 │ Unit Tests (59 tests): 4 │ - influence-manager.test.ts: Award influence, decay, cell control 5 │ - zone-checker.test.ts: Location validation, exclusion zones 6 │ - raid-engine.test.ts: Raid initiation, resolution, damage calculation 7 │ - Vitest configuration with mocking setup 8 │ 9 │ CI/CD Pipeline: 10 │ - GitHub Actions workflow for lint, typecheck, test 11 │ - PostgreSQL + PostGIS and Redis service containers 12 │ - Coverage reporting with Codecov integration 13 │ 14 │ Unity Client Scaffold: 15 │ - AR Foundation integration with ARSessionManager 16 │ - Fingerprint capture component 17 │ - API client with REST request handling 18 │ - Location service for GPS/permissions 19 │ 20 │ Shared Types: 21 │ - TypeScript API type definitions in shared/api-types.ts 22 │ - Source of truth for backend-client contract 23 │ - Quicktype-ready for C# code generation 24 │ 25 │ Development Tooling: 26 │ - ESLint flat config for TypeScript 27 │ - Test setup with common mocks and utilities 28 │ 29 │ Documentation: 30 │ - Comprehensive README with hero section 31 │ - Architecture overview and API reference 32 │ - Development commands and setup guide 33 │ - Privacy and safety documentation 34 │ 35 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Implement Phase 1-2 backend infrastructure 2 │ 3 │ Add complete TypeScript backend for TurfSynth AR with: 4 │ 5 │ Geofencing Service (68h spec): 6 │ - H3-based multi-tier caching (local → Redis → PostgreSQL) 7 │ - Zone checker with PostGIS geometry intersection 8 │ - Speed validator (15km/h lockout, 30-sec rolling window) 9 │ - Spoof detector with behavioral scoring 10 │ - OSM Overpass API zone sync 11 │ 12 │ Place Fingerprint Service (92h spec): 13 │ - K-means color clustering in LAB color space 14 │ - Sobel edge detection and histogram bucketing 15 │ - FFT spectral audio analysis with onset detection 16 │ - Fingerprint assembler (<400 bytes output) 17 │ - Validation gate with rate limiting and anomaly detection 18 │ 19 │ Turf Mechanics Service (88h spec): 20 │ - Influence manager with 48h half-life decay 21 │ - Outpost manager with 4 module types 22 │ - Raid engine with async resolution 23 │ - District aggregation and crew rankings 24 │ 25 │ Infrastructure: 26 │ - Fastify HTTP server with Zod validation 27 │ - PostgreSQL + PostGIS with 3 migrations 28 │ - Redis caching with key prefixes 29 │ - Pino structured logging 30 │ 31 │ All services compile successfully with TypeScript strict mode. 32 │ 33 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, … (+2 more)
• your-fit-tailored (6 commits): ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Add README, update roadmap with evaluation findings 2 │ 3 │ - Create comprehensive README with hero section: problem, approach, 4 │ outcome, repository structure, and quick start guide 5 │ - Add sections 7-8 to roadmap: Immediate Pre-Pilot Actions and Risk Analysis 6 │ - Update Known Gaps section with critical pre-pilot specifications 7 │ - Add evaluation report cross-reference in appendices 8 │ - Include evaluation-to-growth report from comprehensive project review 9 │ 10 │ Key pre-pilot actions identified: 11 │ - Mini-pilot validation (5 users) for return compliance 12 │ - Price cohort test ($50 vs $65/week) 13 │ - Payment integration specification required 14 │ 15 │ Critical risks documented: 16 │ - Return compliance cascade 17 │ - Unit economics sensitivity 18 │ - Airtable scaling limits 19 │ - Manual allocation bottleneck 20 │ 21 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Add comprehensive project roadmap document 2 │ 3 │ Create roadmap/THERE-AND-BACK-AGAIN.md capturing the complete journey 4 │ from concept through pilot to scale: 5 │ 6 │ - Explain “there & back again” metaphor at surface, deeper, and strategic levels 7 │ - Reference all 6 constitutional invariants from memory/constitution.md 8 │ - Define 5 epochs: Conception, Foundation, Validation, Maturation, Scaling 9 │ - Document phase gates with explicit graduate/pivot/shutdown criteria 10 │ - Illustrate triple-loop circularity model (garment, learning, investment) 11 │ - Include scale trajectory table (25 → 250 → 2,500 → 10,000+ users) 12 │ - Map success metrics by phase with targets and measurement methods 13 │ - Catalog known gaps requiring future specification 14 │ - Add appendices with cross-references, timeline, and decision log template 15 │ 16 │ All cross-references validated against existing repository files. 17 │ 18 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Add implementation artifacts for Weekly Cycle Flow and Pilot MVP 2 │ 3 │ Complete no-code pilot documentation for Airtable + Retool setup: 4 │ 5 │ Weekly Cycle Flow (T101-T165): 6 │ - Airtable: 5 orchestration tables (Configuration, SchedulingJobs, 7 │ CommitmentBatches, ShipmentBatches, ReturnReminders) 8 │ - Seed data: configuration.csv with 10 timing parameters 9 │ - 4 automation scripts: auto-schedule, auto-commit, wear-window 10 │ progression, overdue return checking 11 │ - Retool: 7 page specs (SchedulingMonitor, CommitmentMonitor, 12 │ FulfillmentQueue, ShipmentDashboard, ReceivingStation, 13 │ InspectionStation, ExceptionWorkflow) 14 │ 15 │ Pilot MVP (T201-T255): 16 │ - Airtable: 3 tables (FitProfiles, CommunicationEvents, PilotFeedback) 17 │ - Schema reference CSVs for all pilot tables 18 │ - Retool: 8 page specs (UserOnboarding, GarmentOnboarding, 19 │ AllocationWorkbench, PilotDashboard, CommunicationLog, 20 │ FeedbackCapture, DataExport, enhanced ExceptionWorkflow) 21 │ 22 │ Operational Materials: 23 │ - 6 email templates for user communication touchpoints 24 │ - Launch checklist with 70+ verification items across 7 phases 25 │ - Standard operating procedures (6 daily, 5 weekly, 6 as-needed SOPs) 26 │ 27 │ Updated implementation status tracker with consolidated 3-phase view 28 │ and 3-week execution timeline. 29 │ 30 │ Totals: 17 tables, 20 pages, 6 automations ready to execute. 31 │ 32 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, … (+3 more)

ORGAN IV — Taxis

• a-i–skills (7 commits): Expand release automation and bundle validation, Add release helper script, Release v1.1.1, … (+4 more)
• agentic-titan (8 commits): ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Implement Phase 20: MCP Enhancements, Workflow Modules & Dashboard UI 2 │ 3 │ Complete MCP protocol extensions, conversational workflow features, 4 │ and comprehensive dashboard templates for inquiry visualization. 5 │ 6 │ Phase 20A - MCP Protocol Enhancements: 7 │ - mcp/prompts.py: MCP Prompts API with prompt registry 8 │ - MCPPrompt, MCPPromptArgument dataclasses 9 │ - Inquiry prompts: expansive, quick, creative workflows 10 │ - Model prompts: comparison, routing recommendations 11 │ - get_prompt_messages() with argument validation 12 │ - mcp/resources.py: Resource handlers for system state 13 │ - MCPResourceDefinition with URI patterns 14 │ - Learning stats, RLHF metrics, model signatures 15 │ - Topology state, hive events, inquiry sessions 16 │ - ResourceHandler with format_resource_contents() 17 │ - mcp/notifications.py: Real-time notification system 18 │ - MCPNotification with JSON-RPC formatting 19 │ - NotificationType enum (agent, inquiry, learning, system) 20 │ - NotificationManager with subscription support 21 │ - History filtering by type and time range 22 │ - mcp/server.py: Integrate prompts, resources, notifications 23 │ - list_prompts(), get_prompt() handlers 24 │ - list_resources(), read_resource() handlers 25 │ - Notification broadcasting support 26 │ 27 │ Phase 20B - Conversational Workflow Features: 28 │ - titan/workflows/inquiry_engine.py: Interleaved execution 29 │ - UserInterjection, InfluenceMode for mid-inquiry input 30 │ - pause_session(), resume_session() for flow control 31 │ - inject_user_input() with influence modes 32 │ - run_interleaved() async generator for event streaming 33 │ - get_interjection_context() for stage prompts 34 │ - titan/workflows/personality_modulator.py: Style modulation 35 │ - PersonalityVector with 7 dimensions (formality, verbosity, etc.) 36 │ - Preset personalities: academic, conversational, creative, technical 37 │ - PersonalityModulator.modulate() for prompt transformation 38 │ - suggest_for_audience(), suggest_for_task() recommendations 39 │ - titan/workflows/narrative_synthesizer.py: Multi-voice synthesis 40 │ - NarrativeStyle enum: academic, executive, conversational, technical 41 │ - NarrativeConfig with section and voice settings 42 │ - NarrativeSynthesizer.synthesize() for coherent narratives 43 │ - generate_title(), get_transition() style-aware helpers 44 │ - titan/workflows/inquiry_temporal.py: Session evolution tracking 45 │ - DriftType enum: stable, expansion, contraction, pivot, divergence 46 │ - TemporalChain for inquiry version history 47 │ - TemporalTracker with compute_diff(), classify_drift() 48 │ - Theme extraction and similarity scoring 49 │ - titan/workflows/visualization_generator.py: Chart generation 50 │ - VisualizationType: radar, bar, pie, line, sankey, force, treemap 51 │ - VisualizationLibrary: Chart.js, D3, Plotly 52 │ - VisualizationGenerator.generate_suite() from sessions 53 │ - Content parsing for lists, percentages, JSON blocks 54 │ 55 │ Phase 20C - API Routes & Dashboard: 56 │ - titan/api/analysis_routes.py: Contradiction/dialectic endpoints 57 │ - POST /api/analysis/contradictions: Detect contradictions 58 │ - POST /api/analysis/dialectic: Generate synthesis 59 │ - GET /api/analysis/report: Full analysis report 60 │ - titan/api/knowledge_routes.py: Knowledge graph endpoints 61 │ - GET /api/knowledge/graph: Graph visualization data 62 │ - GET /api/knowledge/sessions: Session management 63 │ - POST /api/knowledge/query: Natural language queries 64 │ - titan/cli.py: Extended CLI commands 65 │ - inquiry start/status/pause/resume/inject commands 66 │ - knowledge graph/sessions/search commands 67 │ - workflow list/run/create commands 68 │ - dashboard/templates/inquiry.html: Inquiry session list UI 69 │ - dashboard/templates/inquiry_detail.html: Session detail view 70 │ - dashboard/templates/analysis.html: Contradiction analysis UI 71 │ - dashboard/templates/knowledge.html: Knowledge graph explorer 72 │ 73 │ Tests (189 new tests): 74 │ - tests/workflows/test_personality.py: 28 tests 75 │ - tests/workflows/test_conversational.py: 24 tests 76 │ - tests/workflows/test_narrative.py: 20 tests 77 │ - tests/workflows/test_temporal.py: 26 tests 78 │ - tests/workflows/test_visualization.py: 26 tests 79 │ - tests/mcp/test_prompts.py: 22 tests 80 │ - tests/mcp/test_resources.py: 20 tests 81 │ - tests/mcp/test_notifications.py: 23 tests 82 │ 83 │ All 1271 tests pass (189 new tests added). 84 │ 85 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Implement Phase 19: Documentation, Integration Testing & UI Polish 2 │ 3 │ Complete documentation updates and end-to-end RLHF pipeline tests. 4 │ 5 │ Phase 19A - Documentation & Polish: 6 │ - README.md: Add Phases 13-18 to roadmap section 7 │ - Phase 13: Batch Processing (Celery integration) 8 │ - Phase 14: Ray & Learning Pipeline 9 │ - Phase 15: Production Hardening (auth, PostgreSQL, K8s) 10 │ - Phase 16: Advanced Topology (criticality, fission-fusion) 11 │ - Phase 17: Expansive Inquiry (DAG, epistemic signatures) 12 │ - Phase 18: RLHF & Sandbox (preference pairs, Firecracker) 13 │ - README.md: Expand project structure with new directories 14 │ - titan/analysis/, auth/, batch/, learning/, ray/, safety/, workflows/ 15 │ - runtime/firecracker/ 16 │ - hive/criticality.py, fission_fusion.py, information_center.py 17 │ - README.md: Update test count to 1095+ with categories 18 │ 19 │ Phase 19B - RLHF Integration Testing (35 new tests): 20 │ - tests/e2e/test_rlhf_pipeline.py: End-to-end RLHF pipeline tests 21 │ - TestPreferencePairsE2E: 5 tests for preference pair building 22 │ - TestRewardModelE2E: 3 tests for reward model interface 23 │ - TestDPOTrainerE2E: 3 tests for DPO configuration/metrics 24 │ - TestEvalSuiteE2E: 6 tests for evaluation metrics 25 │ - TestABDeploymentE2E: 6 tests for A/B testing deployment 26 │ - TestExperimentTrackingE2E: 4 tests for experiment logging 27 │ - TestLearningPipelineE2E: 7 tests for learning pipeline 28 │ - TestFullRLHFPipelineE2E: 1 full integration test 29 │ 30 │ All 1095 tests pass (35 new tests added). 31 │ 32 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Implement Phase 18: RLHF Pipeline & Firecracker Sandbox 2 │ 3 │ Complete RLHF training infrastructure and Firecracker microVM isolation 4 │ for secure code execution. 5 │ 6 │ Phase 18A - RLHF Training Pipeline: 7 │ - titan/learning/preference_pairs.py: PreferencePairBuilder class 8 │ - PreferencePair, PreferencePairDataset dataclasses 9 │ - from_ratings(), from_corrections(), from_regenerations() builders 10 │ - from_rlhf_samples() aggregator, to_hf_dataset() converter 11 │ - titan/learning/reward_model.py: RewardModelTrainer class 12 │ - RewardModelConfig with training hyperparameters 13 │ - RewardModel wrapper for inference with predict(), compare() 14 │ - Mock training fallback when transformers not installed 15 │ - titan/learning/dpo_trainer.py: DPOTrainer class 16 │ - DPOConfig with beta, LoRA settings, training params 17 │ - Direct Preference Optimization without explicit reward modeling 18 │ - Integration with TRL library (mock fallback) 19 │ - titan/learning/eval_suite.py: RLHFEvalSuite class 20 │ - win_rate(), reward_accuracy(), preference_correlation() 21 │ - coherence_score(), safety_score(), diversity_score() 22 │ - full_eval() with EvalReport and recommendations 23 │ - titan/learning/experiment.py: ExperimentTracker class 24 │ - wandb, mlflow, and local filesystem backends 25 │ - start_run(), log_metrics(), log_artifact(), end_run() 26 │ - titan/learning/deployment.py: RLHFDeployment class 27 │ - A/B testing with DeploymentConfig 28 │ - start_ab_test(), get_ab_stats(), route_request() 29 │ - promote_winner(), rollback() with quality thresholds 30 │ 31 │ Phase 18B - Firecracker MicroVM Runtime: 32 │ - runtime/firecracker/config.py: FirecrackerConfig dataclass 33 │ - VMState enum (CREATED, STARTING, RUNNING, PAUSED, STOPPING, STOPPED, ERROR) 34 │ - Machine, boot source, drive, network, VSOCK config converters 35 │ - Presets: minimal(), for_code_execution(), for_network_tasks() 36 │ - runtime/firecracker/vm.py: MicroVMManager class 37 │ - MicroVM lifecycle: create(), start(), stop(), execute() 38 │ - copy_to_vm(), copy_from_vm() for file transfer 39 │ - VM pooling with return_to_pool(), get_or_create_from_pool() 40 │ - Firecracker API via Unix socket (aiohttp + curl fallback) 41 │ - runtime/firecracker/network.py: FirecrackerNetwork class 42 │ - TAP device management: create_tap_device(), cleanup_tap_device() 43 │ - NAT configuration: configure_nat() 44 │ - network_namespace() async context manager 45 │ - runtime/firecracker/guest_agent.py: GuestAgentProtocol class 46 │ - VSOCK-based communication with guest VM 47 │ - CommandResult, VMMetrics dataclasses 48 │ - execute_command_via_api(), write_file_via_api(), read_file_via_api() 49 │ - GUEST_AGENT_SCRIPT for deployment inside VM 50 │ - runtime/firecracker/runtime.py: FirecrackerRuntime class 51 │ - Extends Runtime ABC with RuntimeType.FIRECRACKER 52 │ - initialize(), shutdown(), spawn(), execute() 53 │ - VM pool management for warm starts 54 │ - runtime/firecracker/image_builder.py: ImageBuilder class 55 │ - ImageConfig, ImageInfo dataclasses 56 │ - build_minimal_kernel(), build_rootfs() 57 │ - Support for Alpine, Ubuntu, Debian base images 58 │ 59 │ Modified Files: 60 │ - runtime/base.py: Add FIRECRACKER to RuntimeType enum 61 │ - runtime/init.py: Conditional Firecracker imports 62 │ - runtime/selector.py: Add _score_firecracker() method 63 │ - titan/learning/init.py: Export all Phase 18A modules 64 │ - titan/metrics.py: Add RLHF and Firecracker Prometheus metrics 65 │ - RLHF: training runs, loss, win rate, preference pairs, A/B tests 66 │ - Firecracker: VMs active, boot time, execution time, errors, pool size 67 │ - pyproject.toml: Add optional dependencies (trl, peft, wandb, aiofiles, aiohttp) 68 │ 69 │ Tests (140 new tests): 70 │ - tests/learning/test_preference_pairs.py: 21 tests 71 │ - tests/learning/test_reward_model.py: 21 tests 72 │ - tests/learning/test_dpo_trainer.py: 20 tests 73 │ - tests/learning/test_eval_suite.py: 20 tests 74 │ - tests/runtime/test_firecracker_config.py: 17 tests 75 │ - tests/runtime/test_firecracker_vm.py: 18 tests 76 │ - tests/runtime/test_firecracker_runtime.py: 24 tests 77 │ 78 │ All 1027 tests pass (120 new tests added). 79 │ 80 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────, … (+5 more)
• domus-semper-palingenesis (1 commits): ─────┬────────────────────────────────────────────────────────────────────────── │ STDIN ─────┼────────────────────────────────────────────────────────────────────────── 1 │ Switch skills repo to 4444J99/a-i–skills and add speckit 2 │ 3 │ - Update SKILLS_REPO URL to personal fork 4 │ - Add speckit to Planning Skills category in index 5 │ 6 │ Co-Authored-By: Claude Opus 4.5 noreply@anthropic.com ─────┴──────────────────────────────────────────────────────────────────────────

Organs touched: IIIIIV

Links

• https://github.com/4444J99/domus-semper-palingenesis
• https://github.com/organvm-i-theoria/narratological-algorithmic-lenses
• https://github.com/organvm-iii-ergon/my-block-warfare
• https://github.com/organvm-iii-ergon/your-fit-tailored
• https://github.com/organvm-iv-taxis/a-i--skills
• https://github.com/organvm-iv-taxis/agentic-titan