docs: finalize README and project structure for public portfolio

security: complete anonymization of all QA levels and update gitignore

security: remove sensitive data and anonymize prompts for portfolio

feat: Add new QA data, agent configurations, deployment scripts, and prompt instructions.

feat: Implement initial Sales Data Agent with SOTA data instructions, configuration, sample data, and preparation script.

feat: Add initial sales agent implementation, including detailed instructions, data schema, and configuration files.

feat: Introduce sales agent with data preparation, deployment, and QA analysis scripts, along with necessary configurations and prompts.

feat: Add data preparation script, sample data, and initial sales agent prompts including tiered QA levels.

feat: Introduce comprehensive QA prompt levels (L1-L7) for sales agent, including agent configuration and example queries.

feat: Add a new QA pipeline with scripts for question generation, evaluation, failure analysis, and retesting, along with associated data, prompts, and documentation.

feat: Implement L2 QA pipeline with question generation, filtering prompt, and associated data artifacts.

feat: Add new QA datasets, agent prompts, configurations, and a ground truth generation script.

feat: Implement a comprehensive QA data generation pipeline for sales agent evaluation, including ground truth generation, question generation, and associated data/prompts.

feat: Implement multi-level QA generation pipeline with self-correction and detailed agent configuration.

feat: Implement a new QA pipeline with dedicated scripts for question generation, ground truth generation, and evaluation, along with supporting prompts and pipeline run artifacts.