Proof of Usefulness Reports
Real utility scores for popular tools and platforms
QuestXP is an autonomous educational ecosystem and AI-powered learning RPG that programmatically transforms passive YouTube playlists into structured academic courses. Leveraging Bright Data for robust metadata collection, Neo4j to model prerequisite concept graphs, and Storyblok headless CMS to curate syllabi, it eliminates "Tutorial Hell" via adaptive greedy pathfinding and RAG-powered cognitive tutoring.
Jackpot my Id 48579015 Winer
three.ws is an open-source browser platform that lets anyone build a 3D AI agent — attach an LLM brain to any GLB avatar, register it on-chain, and embed it anywhere as a web component with no plugins or server uploads required.
TekVent is an elite local digital marketing agency that helps HVAC, plumbing, and roofing contractors dominate their regional markets. Stop losing high-value jobs to competitors—discover our data-backed blueprint aligning hyper-local SEO, Map Pack optimization, targeted PPC ads, and fast mobile web design to scale your citywide footprint. Request your free local growth audit today!
urweb is a fully autonomous B2B web audit service that discovers real SMB prospects, diagnoses their current website, designs bespoke CSS/HTML mockups tailored to their branding, and sends personalized email previews — with 13.5% CTR and 7 real business replies from 297 delivered emails.
A tiny zero-dep JavaScript library that groups LLM calls into runs and reports total cost, p50 and p95 latency, and a by-model breakdown. Composes with prompt-cache observability and per-call cost calculators so you get a per-run report instead of a per-call spreadsheet.
A tiny zero-dep JavaScript library that wraps each AI agent tool function with arg validation. If the model passes invalid arguments, agentvet throws a ToolArgError with an LLM-friendly retry hint so the model can self-correct. Five lines to wire into existing tool definitions; works with any agent framework.
A tiny zero-dep JavaScript library that turns any LLM call into a typed-output call. Pass a Zod schema, get validated typed data back, or get a clear retry-with-feedback loop until the model returns valid output. BYO LLM via async closure; works with Anthropic, OpenAI, Bedrock, anything that takes a prompt.
A tiny zero-dep JavaScript library that records AI agent tool-call traces and snapshots them like Jest. Run your agent, snapshot the tool sequence, set baselines, fail CI when an agent silently changes which tools it calls. The kind of regression test most agent stacks ship without because nobody wants to set up the harness.
A tiny zero-dep JavaScript library that gives every AI agent tool a declarative allowlist of domains it can fetch from. If a tool tries to reach a domain you have not allowed, agentguard throws. Designed for teams running agents that browse the web or call third-party APIs and want a hard guardrail rather than a hope.
A small, opinionated AWS Bedrock client wrapper that handles three things native SDKs leave to you: adaptive throttle (back off when Bedrock rate-limits, recover smoothly), cache-aware cost tracking (per-call dollars based on actual cache hits), and structured-output parse-and-repair (when the model returns broken JSON, fix it locally before retrying). Single-cloud, single-purpose, MIT.
A Python library that turns prompt-cache hits/misses into a numeric report you can act on. Per-call hit ratios, dollars saved, regression alerts when cache effectiveness drops, and miss-aware retry helpers. Works across Anthropic, OpenAI, and Bedrock so teams running multi-provider LLM pipelines can finally see what their cache layer is actually saving them.
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