Source discovery
Primary output: Source-backed research brief.
Research Agent
“I turn open questions into sourced, decision-ready research.”
I search approved sources, compare evidence, expose uncertainty, and deliver a brief that shows exactly what supports each conclusion.
What I handle
The agent is defined by the state it moves, the systems it touches, and the evidence it leaves behind.
Primary output: Source-backed research brief.
Primary output: Evidence and contradiction map.
Primary output: Decision summary.
Primary output: Monitoring update.
Configured around your approved systems and review path.
Configured around your approved systems and review path.
Five-layer architecture
Every layer is configured for the client environment. Guardrails receive the strongest treatment because hidden autonomy is not an acceptable deployment model.
A research request, new client question, market event, uploaded source set, or scheduled monitoring run.
Breaks the question into claims, compares source authority and recency, identifies contradictions, and separates evidence from inference.
Approved web sources, internal knowledge, document stores, databases, spreadsheets, and research workspaces.
Research scope, accepted sources, prior findings, client context, exclusions, and time-limited monitoring state.
Never invents a citation, hides conflicting evidence, presents inference as fact, or accesses a source outside the approved research boundary.
Industry configurations
Select an industry to see relevant systems, obligations, approval boundaries, and recommended companion agents.
Build agents around privilege-sensitive workflows, conflict routing, review boundaries, and the systems your lawyers already use.
Configure for LawDeploy agents that collect complete packets, structure source documents, prepare work queues, and preserve reviewer control.
Configure for AccountingGive delivery teams a shared operating layer for decisions, actions, project memory, pipeline, content, and billing evidence.
Configure for ConsultingConnect project documents, decision logs, deadlines, and billing evidence without letting automation replace professional review.
Configure for ArchitectureBuild agents around controlled onboarding, documentation, meeting memory, and review workflows with explicit supervisory boundaries.
Configure for AdvisoryConfigure agents to collect information, structure policy data, answer routine questions, track renewals, and route licensed decisions.
Configure for InsuranceProduction pattern
Catalog agents are role-specific products. Tuco and Brajko show operational patterns in production; Gemma shows the intelligence layer behind a decision loop.
AI Readiness Audit
In one working session, we map the workflow, systems, approval boundaries, risks, and the most useful first deployment.