20261 post

1. January

   • 27Encoding observation statesScoping key-value retrieval for Gaby's memory, and choosing a lazy dtype-pattern hash over vector storage for his temporal lobe.

202513 posts

1. October

   • 24AWS AI Agent Global HackathonEntering Gaby as an autonomous data-cleaning agent on AWS Bedrock AgentCore and Sagemaker, and pausing competitions afterwards to rethink security.
   • 20BigQuery AI hackathon: what went wrongEntering Gaby into Kaggle's BigQuery AI competition, a week of refactoring, a banned Google Cloud account, and what I'd do differently.
   • 05Data quality, assurance and insightsThe eight data quality layers Gaby checks, assurance for regulated domains, and the default dashboard pages he builds.
   • 01Gaby's architecture and integrationsThe MCP action space, FastAPI backend, 2025 cloud services comparison, service checklist and integration partner tracker behind Gaby.

2. September

   • 20AI swamp: designing smarter Python agents before they mutateTwo OOP designs for agent base classes that adapt to different model hosting platforms.
   • 18Stages IV and V: anomalies and housekeepingOutlier detection during EDA, then the end of the pipeline: PCA-reduced subsets, end reports and what the user sees next.
   • 14Stage II: missing dataDiagnosing MCAR, MAR and MNAR missingness per data field, a decision tree for it, and the agents that pick a handling strategy.
   • 10Stage I: defining and understanding the datasetWhat makes data unclean, why LLMs label data types inconsistently, and swapping prompts for sentence-transformers and cosine similarity.
   • 08Gaby's data-cleaning pipelineThe objective, user inputs and five general stages of Gaby's self-orchestrated data-cleaning workflow.
   • 06RL and temporal isolationWhy Gaby learns with numerical methods instead of fine-tuning LLMs, the pros and cons of isolating his memory, and why cognitive modelling got shelved.
   • 05Planning Gaby's decision makingFine-tune him like a reasoning model, or corner him with test cases in a little SIM world? Both methods, side by side.

3. August

   • 22How has this not been automated?The real-life problems behind Gaby: biased text labels, Monday-morning pipeline crashes, and botnets that live a little longer on good days.
   • 20Who is Gaby?Tom's database gatekeeper, a self-maintained data workflow with a PageRank-inspired model that decides which memories go where.

← All categories