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Context Engineering: Reliable Synthetic Data
Learn how to build reliable synthetic datasets using LLM context engineering, demonstrated with an automated design thinking example.
How I developed solution that helps to create reliable synthetic datasets and analyse them with example of automation of design thinking.
FastAPI/Gemini LLM uses PydanticAI agents for evidence-traced PRD generation.
- Google GeminiGemini is Google's most capable, multimodal AI model: it seamlessly reasons across text, code, audio, image, and video.Gemini is Google's foundational, multimodal AI model, engineered to natively understand and combine text, code, image, audio, and video inputs. The technology is optimized across three sizes: Ultra (for highly complex tasks), Pro (for broad task scaling), and Nano (for efficient on-device performance). Gemini Ultra, for example, achieved a 90.0% score on the MMLU benchmark, surpassing human experts. It functions as a powerful AI assistant, integrated across Google services like Gmail and Maps, and features advanced tools like Deep Research and custom AI experts (Gems). Its Pro version offers a long context window, handling up to 1,500 pages or 30k lines of code simultaneously.
- PythonPython: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .
- FastAPIFastAPI is a modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation.FastAPI is a robust, high-speed Python web framework: it is built on Starlette (for async capabilities) and Pydantic (for data validation and serialization). Leveraging standard Python 3.8+ type hints, the framework automatically generates interactive API documentation (Swagger UI/ReDoc) and enforces data validation, effectively reducing developer-induced errors by an estimated 40%. This architecture delivers performance on par with Node.js and Go, significantly increasing feature development speed (up to 300% faster). It is production-ready, fully supporting OpenAPI and JSON Schema standards for all API specifications.
- TypeScriptTypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.TypeScript is a high-level, open-source language developed by Microsoft: it acts as a superset of JavaScript, adding a powerful static type system. This system enables compile-time type checking, catching errors before runtime (a critical benefit for large-scale applications). The TypeScript Compiler (TSC) reliably transpiles all code into clean, standards-based JavaScript (ES3 or newer), ensuring compatibility across any browser or host environment (Node.js, React.js, etc.).
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