Agentic tools turn one lazy prompt into a thousand-call hallucination loop. Litmusify intercepts on-device, scores it in under a millisecond, and detours the bad ones before they spend a cent.
sits in front of the agents you already run
Providers bill by the token. They have zero incentive to constrain your prompts. So one ambiguous instruction fans out into a brute-force search, a context flood, and a recursive failure loop.
Illustrative scenario.
No frontier model in the hot path. Local classifiers read the prompt and decide in milliseconds. No latency, no token tax. Litmusify judges the human's instruction, then steps aside.
Local classifiers read structure and specificity to score the prompt. No generative call, no waiting.
< 1 ms · on localhostBelow the bar, the prompt is paused and coached right in your IDE, not thrown as an error.
native chat UITightened, it streams straight to the model. Litmusify trains the human as the work ships.
zero added latencyLitmusify runs as a loopback daemon that intercepts the final payload before it hits the network. Clean prompts pass straight through; ambiguous ones loop back for coaching. The raw prompt never leaves the machine.
Litmusify cross-references telemetry with merged PRs, so the savings show up as dollars, not vibes. Not "litmus score 74." Real compute per shipped PR.
Illustrative figures.
Everyone starts on fast, cheap models. Clear the classifier without detours and your litmus score climbs, unlocking higher rate limits and the most powerful frontier models by default.
Not a tokenmaxxing race. Litmusify ranks engineers by their litmus score and ties it straight to compute cost per PR, so clarity climbs and waste sinks.
Sample team data.
Gateways see tokens; they can't see intent. Litmusify learns from the one signal nobody else has: which prompts led to clean merges, and which spiralled. That edge compounds.
Infra gateways clone an API proxy in weeks. They can't clone the data.
Illustrative figures.
Classifiers, embeddings, and scoring run as a local proxy inside your machine or VPC. There's no third party reading your prompts, so there's nothing for InfoSec to review.
Everything engineers and their VPs ask before dropping Litmusify in front of the agents. Click a question to expand.
No. Classifiers, embeddings, and scoring all run as a local proxy on your machine or in your VPC. Only anonymized telemetry ever syncs: the litmus score, token counts, and detour rate. Your raw prompts and source are never transmitted, so there's nothing for a security team to review.
Lightweight local models (think XGBoost and a small PyTorch classifier, not a frontier LLM) read structural signals: target specificity, action verbs, acceptance criteria, and vector distance from known-good prompts. Those features produce a probabilistic 0–100 score in well under a millisecond.
No. There's no LLM in the hot path. Local classifiers score the prompt in under a millisecond, so a well-formed prompt passes straight through with no perceptible latency.
Rarely. The score is an exponentially-weighted moving average with session inertia, so early exploratory turns barely move it and one-off shorthand on a senior's profile sails through. Only sustained ambiguity trips a detour, and even then it coaches rather than blocks.
Never a hard block. Litmusify uses a soft detour: it pauses an ambiguous prompt and returns a coaching note rendered natively in your IDE. Tighten the prompt and it's released instantly. No error codes, no broken flow.
Anything that speaks MCP or an OpenAI-compatible API: Cursor, Claude Code, Roo Code, Devin, Windsurf, and more, in front of any frontier model. It runs as a local proxy, so it sits in front of the agents without changing your setup.
About five minutes. Drop in the local daemon, point your IDE's base URL (or MCP server) at localhost, and it starts scoring. A file-watcher keeps the config pinned so nobody drifts off the proxy by accident.
The dashboard cross-references the anonymized telemetry with your version control to compute compute cost per merged PR, the one metric leadership can act on. Not a subjective "litmus score 74", just dollars per shipped PR, before and after.
Yes. The whole stack runs inside your VPC with no raw data leaving the perimeter, which is exactly what InfoSec wants to hear. Team and enterprise plans add the shared dashboard, SSO, and PR-level reporting. Free for solo developers.
Two founders who watched agentic spend balloon from lazy prompts and decided to put a litmus test in front of it.
Headshots coming soon.
Tell us where it's burning and we'll help you put it out. Drop your email, or reach a founder directly at aditi@litmusify.com.