Course Objective & Scope
Traditional desk research across industry reports, regulatory filings, and web sources takes days, yet relying on ungrounded LLM chats risks fabricated citations and shallow summaries. This course establishes a rigorous methodology for AI-assisted research and multi-source synthesis.
Participants master search-grounded tools and autonomous research agents—including Deep Research modes in ChatGPT, Gemini, and Claude, alongside Perplexity and NotebookLM. Through hands-on labs customized to the organization's sector, teams build evidence matrices, surface contradictions across documents, and enforce strict citation verification standards.
Who Should Attend?
- Strategy, business development, market research, and competitive intelligence teams
- Specialists and consultants reviewing regulations, industry standards, tenders, or technical literature
- Analysts and advisors preparing executive briefings and investment memos
- Familiarity with basic AI chat tools is recommended
Key Takeaways
- Decompose complex research questions into testable sub-hypotheses and scoped search plans
- Steer Deep Research agents and search-augmented AI tools toward authoritative primary sources
- Synthesize dozens of uploaded PDFs and reports in NotebookLM and project workspaces without external hallucination
- Generate comparative matrices that highlight consensus, conflicting data points, and knowledge gaps
- Apply a structured citation and source-verification protocol before finalizing research deliverables
Curriculum
AI Research Methodology and Toolchain Selection
- Parametric memory vs. search-grounded generation and document-grounded synthesis
- Matching Deep Research agents, Perplexity, and NotebookLM to specific research stages
- Structuring research briefs with explicit source hierarchy, date bounds, and exclusion rules
Market, Competitive, and Trend Intelligence with Deep Research
- Directing multi-step autonomous research agents and refining their investigation plans
- Extracting structured evidence from industry filings, public disclosures, and trade publications
- Prompting for counter-arguments, methodology critiques, and granular quantitative data
Closed-Corpus Synthesis and Cross-Document Analysis
- Interrogating 20+ PDFs and reports in NotebookLM and project workspaces with strict citation grounding
- Building synthesis tables that compare claims, assumptions, and metrics across multiple authors
- Identifying blind spots and unanswered questions within a document collection
Citation Verification and Executive Briefing Delivery
- Verification checklist for spotting phantom links, misattributed quotes, and outdated figures
- Distilling extensive research logs into structured executive memos and decision tables
- Workshop: Completing an end-to-end verified research dossier on a real company topic
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