A structured AI research methodology that eliminates hallucination and fabricated sources. Your team gets domain-specific research guides with built-in source integrity enforcement - every claim traced, every source verifiable, every inference labeled.
Book a 30-Minute Discovery Call See How It WorksLarge language models fabricate sources, invent statistics, and present fiction as fact - with complete confidence. For teams whose work depends on accurate research, this is not an inconvenience. It is a liability.
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Named after Zbigniew Herbert - the poet who demanded truth without decoration. The protocol enforces source verification at every step of AI-assisted research. Fabricated citations are caught by design, not by luck.
SOURCE COMPLIANCE Tally - Every output includes a running count: sources cited, sources verified, sources pending, sources rejected. Your team sees the integrity score before acting on any finding.
Mandatory Source Classification - Every claim is tagged: PRIMARY (peer-reviewed, official), SECONDARY (industry report, news), TERTIARY (blog, opinion), or INFERENCE (analyst reasoning). No untagged claims pass through.
Fabrication Detection Rules - The protocol includes explicit instructions that prevent the AI from generating plausible-sounding but non-existent references. When the model cannot find a real source, it says so - instead of inventing one.
Domain-Specific Verification Chains - Each domain guide includes the authoritative source hierarchy for that field. Medical device research checks against FDA/MDR databases. AML checks against FATF and local FIU registers. No generic research patterns.
Audit-Ready Output Format - Every research output is structured for handoff: executive summary, detailed findings with inline citations, source appendix with verification status, and confidence assessment. Ready for compliance review without reformatting.
Teams where 'the AI said so' is not an acceptable source citation.
Drowning in regulatory research across multiple jurisdictions. Need audit-grade source trails for every finding. Cannot afford a single fabricated reference in a submission.
Running background checks, market analysis, and risk assessments where every data point must trace back to a verifiable source. The cost of a hallucinated fact is a failed deal or a lawsuit.
Building impact pathways and citing research to justify funding requests. Reviewers check sources. Hallucinated impact studies get your application rejected - and your organization flagged.
Medical devices, pharma, manufacturing. Material properties, biocompatibility data, and regulatory precedents must come from real publications. No room for AI-generated references.
Preparing for CSRD with evidence-based reporting. Auditors will verify your environmental claims and social impact data. Every number needs a traceable source.
Using AI to accelerate market research, competitive analysis, and trend identification. Need a methodology that separates verified intelligence from confident-sounding fabrication.
Start with the open-source protocol. Go deeper when your domain demands it.
The Zbigniew Protocol on GitHub. Open-source. Self-service. Download the CORE.md research guide and start using it with ChatGPT, Copilot, or Claude today. Source compliance tally, fabrication detection rules, and audit-ready output format included. github.com/maciejjankowski/zbigniew
Custom domain guide built for your field, plus a 60-minute onboarding call showing your team exactly how to use it. Available domains: Supply Chain Continuity, Medical Device Materials, AML/Due Diligence, ESG Reporting, EU Grant Research. Includes CORE.md, domain-specific guide, onboarding session, and 30 days of email support.
We analyze your research workflows, build a tailored guide for YOUR industry, train your team, and set up source verification processes. Includes everything in Domain Pack plus custom guide development, half-day on-site or remote training, source library setup, and quarterly review.
The Zbigniew Protocol is not a prompt template. It is a structured methodology with enforcement mechanisms built into every research output.
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Download the Zbigniew Protocol from GitHub and run it on your last research output. If the SOURCE COMPLIANCE tally makes you uncomfortable, book a call to discuss a domain-specific guide for your team.
Book a 30-Minute Discovery Call