Research & Notes

A personal knowledge base.

AI research notes, technical explainers, data experiments, programming notes, and ideas I'm exploring — searchable, honest, always growing.

Showing 8 of 8 entries

Research NoteAI Agents • Jan 2026

Agent loops: plan → act → verify

Why planner-executor loops with verification beat single-pass prompting, with patterns from my Nexus build.

#agents#llm
ExplainerAI Chatbots • Dec 2025

RAG grounding checklist

The exact checklist I use before calling any chatbot 'grounded': retrieval, citations, abstention, escalation.

#rag#chatbots
ExperimentAI Engineering • Dec 2025

Evals for side projects

Five test goals, re-run after every change. A minimal eval harness that caught regressions my eyes missed.

#evals#testing
Study NoteData Science • Nov 2025

Probability intuitions for builders

Priors, likelihoods, expected value — translated from Stanford coursework into decisions I make while building.

#probability#stats
ExperimentLearning Science • Nov 2025

Spaced repetition that sticks

What the literature says about retrieval practice, and how StudyFlow implements it without annoying users.

#edtech#learning
Code NotesProgramming • Oct 2025

DSA patterns I actually reuse

Hash maps, two pointers, sliding windows — the small set of patterns behind most interview and real-world problems I meet.

#dsa#c#python
ExplainerAI Chatbots • Sep 2025

Prompt patterns for support bots

Tone controls, context injection, and abstention prompts distilled from shipping SupportIQ.

#prompts#ux
Literature ReviewBusiness • Sep 2025

SaaS pricing for solo tools

What I read on outcome-based pricing, and how it reshaped BizAutomate from platform to recipes.

#saas#pricing