Agent-assisted research infrastructure
TWOG - A Living Research Engine
TWOG Autoresearch is building a source-traceable research platform for canine hemangiosarcoma and related human translational oncology. It ingests biomedical evidence, organizes it into a searchable knowledge library, and gives specialist agents the tools to search, compare, design, test, and evaluate research paths for human review.
Built for evidence organization, hypothesis support, validation planning, and human-reviewed research workflows. Not for diagnosis, prescription, or treatment recommendations.
Why it exists
The evidence is fragmented.
Canine hemangiosarcoma is aggressive, under-served, and biologically complex. Relevant evidence is scattered across veterinary oncology, human angiosarcoma, vascular tumor biology, sarcoma literature, drug databases, protein references, molecular datasets, safety records, and emerging online signals.
The platform
From evidence to research workflows.
TWOG Autoresearch continuously ingests research sources, structures them into an evidence library, prepares them for retrieval, and gives specialist agents access to the information and tools needed to generate source-traceable research artifacts.
Evidence library
Raw records become usable research context.
Records are normalized into research objects, document chunks, entities, claims, citations, and embeddings. That library supports RAG, MCP tools, source review, citation-backed briefs, and future scientific workflows.
Research agents
Agents do bounded research work.
Specialist agents operate on top of the evidence library. They search across sources, compare findings, identify candidate mechanisms, design hypotheses, plan validation work, inspect contradictory evidence, and produce source-traceable reports for human review.
Finds relevant records, gaps, contradictions, and source follow-up targets.
Connects mechanisms, pathways, compounds, and translational signals.
Challenges weak evidence, unsupported claims, and overconfident conclusions.
Turns promising directions into reviewable experimental or computational plans.
Routes selected tasks into modeling, molecular data, safety, or GPU-backed workflows.
Scientific tools
The frontier layer connects agents to computational research.
The goal is not to lock the project to one tool stack. The durable layer is a controlled interface where agents can hand off evidence-backed questions into reproducible computational workspaces, capture inputs and outputs, preserve provenance, and route results back through human review.
Controlled workspaces
Reproducible inputs
GPU-ready execution
Structured outputs
Provenance capture
Review gates
Validation artifacts
Hypothesis pipeline
Ideas move through gates, not shortcuts.
The system is designed to move from evidence to hypotheses in a controlled sequence: ingest sources, structure evidence, retrieve relevant context, generate multi-perspective briefs, evaluate synthesis quality, identify candidate hypotheses, plan validation steps, run appropriate tools, and route outputs to human experts.
Quality and oversight
Every output should remain traceable.
Research briefs require citations. Synthesis outputs are evaluated for citation coverage, perspective balance, contradiction handling, novelty, actionability, and readiness for review. Human oversight remains central, especially for clinical interpretation, research prioritization, and validation decisions.
Citation coverage
Perspective balance
Contradiction handling
Novelty
Actionability
Human review readiness
Current build status
Active research infrastructure, built in public.
V1 proved the major lanes could work. V2 is rebuilding them with cleaner orchestration, storage, retrieval, provenance, and review contracts. This is not a medical device, diagnostic system, or treatment recommendation engine.
V2 active build
Ingestion bridgeSource monitoringFull text hardeningEmbeddingsResearch briefsV1 experimental baseline
Lead follow-upAgent review workflowsSource-depth explorationSynthesis evaluationGPU validation pathwayModeling and molecular-data prototypesPartner validation planning
Why this work exists
For Graffiti, Brady, and every dog after them.
TWOG began because hemangiosarcoma leaves too many families with too few options and too little organized evidence. The platform is being built to make the research easier to search, compare, challenge, and move responsibly toward validation.
Collaborate
Help improve the evidence, review the work, or shape the validation path.
TWOG Autoresearch needs researchers, veterinarians, technical contributors, data contributors, partners, and supporters who can help turn scattered evidence into reviewable research artifacts.