YouDeserveNow, Justifications for Treating Yourself
AI generates fake scientific citations to justify your impulse purchases.
Audi-ted L5 storage engine. SQLite for files.
Treats LLMs like untrustworthy HTTP clients with HMAC audit chains.
AI developers building agentic systems, security-focused engineers
Model Context Protocol · AutoGen · LangChain
I'm using the web security principle to treat this untrustworthy client(LLM) and provide it with the ability every http client can do, so that LLM can write any web app natively without any agentic UI or predefined components, in a safe, physical isolated way.
AI generates fake scientific citations to justify your impulse purchases.
LLM governance framework, but early-stage spec with no working code—Phase 0 skeleton promised.
Treats model calls as first-class runtime constructs using $..$ blocks with declared-type enforcement, which makes it unusually ergonomic to intermix deterministic code and LLM-powered operations. The Polars-backed dataframe injection that emits structured JSON summaries instead of raw table dumps is a clever, practical touch for token efficiency; neat sandbox for language designers, but explicitly a hobby/toy project rather than something to deploy.
Schema validation catches LLM output mismatches before they break downstream systems.
Local LLM with sleep cycles, memory consolidation, and moral philosophy framing—audacious conceptual leap beyond chatbot UX.
Evidence-mapped CV beats PDF for AI recruiter parsing, but applies only to ATS that read these formats.