The Data Analysis agentIntent analysis and planningCode formulation and executionVisualization and analysisPresentation and refinementVisualization recommendation systemsStatistical reasoning capabilitiesDescriptive statistics and summarizationInferential and diagnostic analysisAnomaly detection and uncertainty quantificationThe Verification and Validation agentFact-checkingLogical coherenceRetrieval-augmented evaluationConsistency analysisHandling conflicting evidenceThe General Problem SolverArchitectural overviewCoordination in multi-agent systemsMeta-learning and adaptation techniquesUniversal problem-solving strategiesCase study: News fact-checking assistant - An agent for journalistic integrityThe challengeSolution architectureCode implementationSetup, dependencies, and client initializationAuthoritative data: The trusted internal databaseClaim extraction (LLM-first with a safe fallback)Mapping, parsing, and verificationOrchestration, reporting, and demonstrationResults and operational guidanceCase study: Cross-disciplinary hypothesis generation — Applying ecological resilience to power grid stabilityThe challengeSolution architectureCode implementationSetup and configurationStage 1 — DecomposeStage 2 — Cross-domain analogy searchStage 3 — Synthesize and hypothesizeStage 4 — Test and reflectStage 5 — Meta-learn and orchestrateResults and reflectionBringing it all togetherSummary