Respondology
NLP and machine learning contributed to automated comment moderation.
Ruby / Rails · PostgreSQL · AWS
Source: Cybergizer’s published portfolio, reviewed 22 October 2026.Explore our AI and
software project work.
Specific systems and contributions from Cybergizer’s published portfolio.
Talentako
An MVP with sensitive-information detection, highlighting and manual review.
Ruby / Rails · React · Python
Source: Cybergizer’s published portfolio, reviewed 22 October 2026.Llamagator
Compare outputs and repeated runs across local and API-based models.
Ollama · llama.cpp · OpenAI API
Source: Cybergizer’s published portfolio, reviewed 22 October 2026.Waterman AI
A demo for UK legislation extraction and configurable AI analysis chains.
Rails · React · Python
Source: Cybergizer’s published portfolio, reviewed 22 October 2026.About these summaries
They describe published contributions, not a promise of equivalent results for another product. We have not added unverified savings, delivery-speed claims or client testimonials. Relevant references and available project materials can be discussed directly.
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Moderation and reviewed decisions
Respondology illustrates a published contribution involving NLP, machine learning and comment moderation. Use that context to discuss the content, policy and human decisions in your own workflow.
Documents and structured information
Talentako and the Waterman demonstration provide different document-oriented contexts: anonymization with review, and analysis of legislation. A new project still needs its own sources, permissions, intended use and acceptance procedure.
Model behavior and evaluation
Llamagator provides a published model-testing context. For a product implementation, connect model comparisons to the task, user experience, evidence requirements and operating constraints. Open a project page to see the contribution and a starting point for a similar brief.