Playbooks

End-to-end AI-assisted SaaS delivery playbook organized across Kickoff, Inception, Elaboration, Construction, Operations, and Incident Response. Fourteen workflows cover team bootstrap and the project Charter; product and system design; architecture, process, estimation, infrastructure, and CI/CD; project bootstrap; interactive and factory delivery; test automation; …

Turn a provided datalake catalog (akin to Phainestai) into a decision-ready EDA: frame the problem as questions, explore data to identify target(s) Y and build feature tables with information gain on Y, design visual encodings using a systematic analytical-pattern method, then build …

Run this playbook to assess your SDLC. The lake is the instrument: reconstruct the delivery cycle from real events, rank impact by people×effort plus downstream wait, and decide what to eliminate or accelerate. If you have no team yet, combine it with …

Turn any source material — book, personal notes, or scientific paper — into a well-structured Mimir playbook. Treats knowledge extraction as an ontology mapping problem: the source is raw material, the Mimir schema is the ontology, and the output is a playbook …

Encode source code as program graphs capturing both syntactic and semantic structure, and use Gated Graph Neural Networks over those graphs to solve variable-centric reasoning tasks). Based on "Learning to Represent Programs with Graphs" (Allamanis, Brockschmidt, Khademi, 2018).