Hooker Hill Studios
Research Technology/AI

ResearchOS - Evidence-Backed Research

ResearchOSOngoingEvidence-Backed Research Workspace
ResearchOS - Evidence-Backed Research

The Challenge

Research assistants can produce fluent but difficult-to-audit outputs. ResearchOS needed to make the process visible: break questions into objectives, gather and validate evidence, preserve the connection between a claim and its source, and let people write from selected research rather than a generic chat response.

The Solution

ResearchOS is an evidence-first workspace that plans research, dynamically discovers connected MCP tools, and runs approved read-only tools within bounded budgets. It validates tool output before model use and stores an evidence trail for supported claims, including source details, excerpts, tool calls, trace steps, confidence, and limitations. Users can save runs in workspaces, create APA or MLA papers from selected evidence, and export their work.

Key Results

Traceable claims
Each supported claim can be followed through its evidence record, source, MCP tool call, and trace event.
Bounded automation
Planning, tool calls, time, and iterations have defined budgets, while paid or mutating tools remain approval-gated.
Evidence-led writing
APA and MLA papers are generated from selected research runs and retain citations for review.
Persistent workspaces
Research runs, cited papers, writing profiles, and short-lived unfiled sessions are managed separately.

Services Provided

Research Workflow DesignAI OrchestrationEvidence ProvenanceFull-Stack Product DevelopmentCloud Deployment

Technologies Used

Next.jsNode.jsPostgreSQLFirebase AuthenticationStripeAnthropic ClaudeModel Context ProtocolCloudflare

Project Gallery

ResearchOS - Evidence-Backed Research - Image 1
ResearchOS - Evidence-Backed Research - Image 2

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