spent last weekend hacking ZON-TS because json was torching half my openai/claude budget on dumb redundant keys — hit that wall hard while prototyping agent chains.

result: tiny TS lib (<2kb, 100% tests) that zips payloads ~50% smaller (692 tokens vs 1300 on gpt-5-nano benches) — fully human-readable, lossless, no parse tax.

drop-in for openai sdk, langchain, claude, llama.cpp, zod validation, streaming... just added a full langchain chain example to the readme (encode prompt → llm call → decode+validate, saves real $$ on subagent loops).

quick try:

```ts npm i zon-format import { encode, decode } from 'zon-format'; const zon = encode({foo: 'bar'}); console.log(decode(zon)); ``` github → https://github.com/ZON-Format/ZON-TS benches + site → https://zonformat.org

YC’s fall rfs nailed it — writing effective agent prompts is brutal when every token adds up. if you’re in a batch grinding observability (helicone/lemma vibes) or hitting gemini limits like nessie did, what’s your biggest prompt bloat headache right now? paste a sample below and i’ll zon it live.

feedback (harsh ok) very welcome

cheaper tokens ftw