Share your best AI workflow. We could show it to 2M+ people.

The ETHOS™ Framework (Evaluation Through Hierarchical Oversight of Sources) is a multistage forensic audit system designed to transform AI-generated research into “audit-ready” ground truth. Its five-stage lifecycle is designed to ensure technical precision: Step-by-step: 1. EXTRACT (Stage 1): Using the Ground Truth Manifesto and the six-tier Authority Ladder, ETHOS extracts structured tax reports from multiple LLM archetypes: Technical Specialists, Strategic Advisors, and Operational Drafters. This forces their initial findings to follow a strict legal hierarchy. 2. TEST (Stage 2): The Tax Citation Auditor subjects the reports to a three-pass forensic review, testing every citation for existence, pinpoint accuracy, and application fit. Any citation that cannot be verified in a primary repository is immediately downgraded or flagged. 3. HEAL (Stage 3): The Post-Audit Correction Protocol (PACP) repairs the evidence chain by requiring the LLM to resolve flagged citations, replace fabrications with 3–15-word verbatim micro-quotes, and revalidate all “knock-on” effects across downstream computations and thresholds. 4. ORGANIZE (Stage 4): The Human-in-the-Loop (HITL) controller organizes the pre-audit and post-audit artifacts in a consolidated AI sandbox, such as Google Notebook, Claude Cowork, or Perplexity Spaces. This manages the collectively exhaustive data, elevates mutually exclusive advisory angles, and maintains institutional version control. 5. SYNTHESIZE (Stage 5): ETHOS applies MECE principles (Mutually Exclusive, Collectively Exhaustive) and the Weighted Authority Confidence Index (WACI) to adjudicate model conflicts and synthesize a single ground-truth memo. Every load-bearing conclusion is certified for release.

I moved to France, where my German hunting license is not accepted. As a resident, I have to pass the French hunting exam to obtain a French license. I downloaded a guide for the exam from various internet sources, along with publicly available literature on the relevant topics. I gave these materials to Perplexity and instructed it to develop a preparation course with logically structured learning units covering French hunting vocabulary, exam topics broken down into detailed subunits, game, hunting law, and more. For each unit, I requested a test with 12 questions combining multiple-choice and free-text formats. I also asked Perplexity to include every mistake in the next unit and continue reviewing those errors until I know the material 100%. Now, every second day when I open my computer, Perplexity presents a new unit aligned with my progress and the errors from previous units. The preparation schedule is optimized for the exam this November, with October reserved for reviewing all topics. Step-by-step: 1. I downloaded an exam guide and publicly available literature on the relevant French hunting topics. 2. I provided these materials to Perplexity. 3. I instructed Perplexity to create a logically structured preparation course covering French hunting vocabulary, detailed exam topics, game, hunting law, and related subjects. 4. I required each learning unit to include a 12-question test with a mix of multiple-choice and free-text questions. 5. I asked Perplexity to carry every mistake into the next unit and continue reviewing it until I know the material 100%. 6. Every second day, I open my computer and complete the new unit generated according to my progress and previous errors. 7. I use the schedule leading up to the exam in November, reserving October for a full review of all topics.

I put Gemini Deep Research and Perplexity Pro to work as my personal research assistants. For robotics research, I tell them to stick to top-tier journals and primary sources only, and demand citations and dates for everything. Then I have them distill the highlights into a ranked list so I know exactly where to dig deeper. Step-by-step: 1. I defined the robotics research question and the boundaries of the search. 2. I instructed Gemini Deep Research and Perplexity Pro to use top-tier journals and primary sources only. 3. I required citations and dates for every important claim. 4. I asked each tool to distill the results into a ranked list of the most important findings. 5. I used that ranked, cited overview to decide which original papers deserved a deeper read.