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A shopping copilot that inverts the shopper instead of matching keywords: exact-posterior retrieval plus information-gain questions. Hit@10 1.000, MRR 0.984, 1.96 turns, $0 per session.
Shopping copilot that finds the exact product in ~2 turns — TechnicalScore 0.9715 (9× baseline), $0 and 0 LLM tokens on the scored path. Learned + LLM layers handle real shopper wording.
An autonomous exception closer that blocks unsupported waste custody claims, requests exact corrective evidence, resumes safely, and releases an evidence-linked packet.
ShopPal is a lightweight shopping copilot that understands messy human intent, combines lexical and semantic search, and finds the right product fast, with zero inference-time API calls.
A background release-recovery agent that detects real failures, assembles Gemini capability crews, reassembles when a plan breaks, acts within policy, and proves the workload actually recovered.
Finds what you meant, not just what you typed — 7.7x the baseline score, zero LLM cost.
Welcome to modern team vibecoding: everyone's LLM is writing their slice of code right now. We're your new safe and effective editing layer, delivering one clean repo instead of a sea of conflicts.
A compass, not a mirror: vocational discovery where every claim is backed by sealed evidence and no number about you ever comes from an AI.
Most agents wait for instructions. Mine runs a company, 25 Gemini agents, governed by a 1,400-year-old moral law, on Google Cloud.
Career searches scatter context across tabs, docs, and tools. With WebMCP, jobContext gives you and your agent one shared memory for every role and next move, directly in your signed-in browser.
A meta-harness agentic IDE that orchestrates parallel AI coding agents in isolated Git worktrees with live terminal supervision and automated CI & review feedback loops.
Pramit turns uncertain R&D into predictable progress by making experiments reproducible, comparisons valid, decisions traceable, and claims defensible
AI Conversational Search and Recommendations
A local AI shopping copilot with a versioned intent ledger that removes outdated preferences and adapts recommendations when shoppers change their minds.
A shopping copilot that is stress-tested against real language (not just catalog terms), learns which questions to ask to narrow the search fastest, and diversifies recommendations for fairer coverage
tictac's middleware connects users, projects, Agents, and protected data, handling delegation, access control, workspaces, and run tracking so Codex Agents can collaborate safely.
Build better checkout vision with evidence you can inspect. CheckoutCheck compares models, reviews real footage, and uses OpenCV-powered agents to flag uncertainty for human review.
Uzu is a gamified multimodal AI assistant that evaluates and teaches you how to craft prompts. It features vector memory, file analysis, and performs carbon offsetting.
Comake — one place for humans and agents to create and present together.
An offline, CPU-only shopping copilot that remembers user preferences across turns, asks clarifying questions, and reranks 50K products with 99% HitRate@10 on the public set.
n offline conversational shopping agent that tracks changing intent, asks useful clarifying questions, and quickly ranks the right products from a 50,000-item catalog.
Conversational search that learns what matters and finds the right product faster
Cleri is a shopping assistant you actually talk to, not a search bar with dropdowns. Say what you want in plain words. Change your mind halfway through. Skip questions you don't care about.
The copilot that tunes itself to any machine and pins the right product at #1.
