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AI Agent Behaviour
Research PublicationAIAgent Behaviour2026
Empirical research examining how AI agents interpret information, behavioural cues and decision contexts.
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01 · /PUBLICATIONSResearch PublicationsEmpirical ResearchQUESTIONMETHODFINDINGSExplore Research →02 · /WHITE-PAPERSWhite PapersDeep analysis.§1 Industry problem§2 Evidence§3 Analysis§4 ImplicationsExplore White Papers →03 · /SIGNALThe SignalPerspectivesFounder & team · observations · commentaryRead The Signal →04 · /CASE-STUDIESCase StudiesOur WorkPROBLEM→DID→OUTPUT→OUTCOMEView Case Studies →
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■ RESEARCH PUBLICATIONAI Agent Behaviour2026Agent Behaviour Analysis for Traditional Behavioural CuesRead Research →▤ WHITE PAPERConstruction / AECSeriesAI in Construction WorkflowsRead Summary →● THE SIGNALAI / Agentic CommerceJul 2026Nudges are designed for eyes. What happens when the buyer has none?Read →→ CASE STUDYAEC/Construction2026MEP Standards AgentView Case Study →
→ CASE STUDY · ANONYMISED
MEP Standards Agent
Industry · AEC/ConstructionCapability · AI Agent Development01 · The ProblemEngineers were spending too much time serching for codes and standards for every project.
02 · What We Did1. Developed Vector based Knowledgebase
2. Developed Architecture to develop the Agent and tools
3. Developed special UI and to connect internal Chat UIs to interact with the standards Agent
03 · OutputThe Agent Hosted on the Client’s IT Systems
04 · Impact / OutcomeA Search task time reduction from 30 minutes to 3 minutes
05 · Related CapabilityAI Agent Development
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