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Not just keyword matching, it's a shopping assistant that understands intent, remembers context, and asks the right question at the right time
Your personal shopping buddy that listens to you.
An adaptive, CPU-local shopping agent that routes browsing and buying differently, tracks evolving context, and finds the target in 199/200 public sessions—with zero APIs, tokens, or GPUs.
A detector that survives real-world image damage and generalises across AI generators. One extra training source took cross-generator accuracy from 49% to 97%, at a cost of 0.5 points.
Offline reliability, local AI intelligence
A zero-LLM, fully offline shopping agent that remembers what you say, asks the right follow-up, and finds your exact product in about 3 turns — 92% hit rate on 200 test conversations.
AI agent that finds, compares & buys products across Nigeria with escrow guarantee. Built with Gemini on Google Cloud for 200M Africans.
An autonomous ML agent powered by Gemini that independently architectures, debugs, and tunes PyTorch recommendation models, successfully beating the ByteDance baseline with zero human intervention.
Agentic infrastructure intelligence that detects critical problems, reasons over evidence, applies safety constraints, and turns approved decisions into measurable action.
A conversational shopping agent that asks the right question instead of guessing — finds the exact product in under 3 turns, 8x better than keyword search alone.
An ML research agent that edits a typed operator graph instead of a script, making broken pipelines unrepresentable. Beat the KuaiRand-Pure baseline in 4 unattended iterations, 0 interventions.
Branchgate: Visual GIT workflow tool
Human-in-the-loop approval and full audit trail for AI coding agents with filesystem access — with a live bypass-detection layer.
A conversational shopping agent that hits 200/200 — because we found the bottleneck wasn't language.
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