AI Research Agent Course

Lesson 1 • Defining the Research Agent Role

Establishes what a private research agent does versus adjacent professions. Grounds the chapter by clarifying scope, client relationships, and professional identity.

Lesson 2 • Ethical Principles in Research

Introduces the ethical obligations that govern research practice. Connects professional conduct standards to real-world decision-making throughout the course.

Lesson 3 • Legal Boundaries of Research Activity

Surveys the legal constraints on data collection and subject research. Students learn to identify permissible versus prohibited actions before any fieldwork begins.

Lesson 1 • Social Media Intelligence

Covers methods for extracting and analysing data from social platforms ethically. Builds on search skills to add human-behavioural data to research profiles.

Lesson 2 • Public Records and Databases

Surveys government and institutional records accessible without special authorisation. Students learn to navigate registries, filings, and official repositories systematically.

Lesson 3 • Understanding Open Source Data

Defines open source intelligence and its categories. Establishes why OSINT is the primary starting point for any research engagement.

Lesson 4 • Search Engine Mastery

Teaches advanced query construction to extract precise results from search engines. Directly enables efficient information gathering in all subsequent research tasks.

Lesson 1 • Relationship and Network Analysis

Introduces methods for mapping connections between subjects, organisations, and events. Adds relational depth to individual and corporate profiles.

Lesson 2 • Building a Personal Background Profile

Covers aggregating employment, education, and association data into a coherent profile. Connects identity verification to a fuller picture of the subject's history.

Lesson 3 • Individual Identity Verification

Teaches methods to confirm a subject's identity using multiple data points. Anchors the profiling process by establishing who the subject actually is.

Lesson 4 • Profile Quality and Completeness Review

Establishes standards for reviewing a finished profile before client delivery. Reinforces accuracy, completeness, and ethical compliance as non-negotiable outputs.

Lesson 1 • Principles of Human Intelligence

Introduces the role of human sources in research and the ethics governing their use. Sets the foundation for all interview and elicitation techniques that follow.

Lesson 2 • Pre-Interview Research and Preparation

Covers how to research a subject before conducting an interview to maximise yield. Directly applies OSINT and profiling skills from earlier chapters.

Lesson 3 • Structured Interview Techniques

Teaches proven interview frameworks for eliciting accurate, detailed information. Builds practical communication skills central to field research work.

Lesson 4 • Elicitation and Indirect Questioning

Introduces indirect methods for obtaining information without direct interrogation. Expands the student's toolkit for sensitive or resistant source situations.

Lesson 1 • Surveillance Planning and Preparation

Covers pre-operation planning, including target analysis and resource allocation. Connects earlier profiling skills to operational readiness for field assignments.

Lesson 2 • Static and Mobile Surveillance

Teaches the mechanics of fixed-position and moving observation operations. Provides the core field techniques for tracking subject activity over time.

Lesson 3 • Legal Framework for Observation

Defines what constitutes lawful observation versus illegal surveillance. Establishes the legal guardrails that govern all physical research activities.

Lesson 4 • Countersurveillance Awareness

Introduces methods for detecting whether a subject is surveillance-aware or actively countering observation. Adds a defensive dimension to field operations.

Lesson 1 • Digital Identity and Online Presence

Covers how individuals and organisations leave traceable digital identities across platforms. Builds on OSINT skills to focus specifically on digital behavioural patterns.

Lesson 2 • Dark Web and Closed Forum Research

Surveys lawful methods for monitoring dark web sources and restricted online communities. Extends research reach to non-indexed environments within ethical boundaries.

Lesson 3 • Network and Infrastructure Research

Introduces passive techniques for researching IP addresses, domains, and hosting infrastructure. Enables technical attribution of online assets to real-world entities.

Lesson 4 • Digital Evidence Preservation

Establishes protocols for capturing and preserving digital evidence in a forensically sound manner. Ensures digital findings are admissible and defensible in formal proceedings.

Lesson 1 • Analytical Frameworks for Research

Introduces structured analytic techniques for interpreting and organising research findings. Provides the cognitive tools needed to move from data to conclusions.

Lesson 2 • Structuring Research Reports

Covers the architecture of professional research reports from executive summary to appendices. Directly prepares students to produce the primary deliverable of any engagement.

Lesson 3 • Writing for Non-Technical Clients

Develops plain-language writing skills for communicating complex findings to lay audiences. Bridges the gap between technical research work and client comprehension.

Lesson 4 • Assessing Confidence and Uncertainty

Teaches methods for expressing the reliability of findings and flagging uncertainty. Ensures clients receive an honest picture of what is known versus inferred.

Lesson 1 • Case Closure and Knowledge Retention

Establishes protocols for closing cases, archiving materials, and capturing lessons learned. Builds institutional knowledge and prepares students for continuous professional improvement.

Lesson 2 • Managing Research Teams and Subcontractors

Covers delegation, quality control, and coordination when working with other researchers. Prepares students for leadership roles in larger research operations.

Lesson 3 • Multi-Source Intelligence Fusion

Teaches integration of OSINT, human, digital, and physical intelligence into unified assessments. Represents the highest-level synthesis skill in the research agent's toolkit.

Lesson 4 • Client Management and Expectation Setting

Addresses the professional relationship between researcher and client throughout an engagement. Ensures students can manage scope, timelines, and difficult client dynamics.