serverless-agent
An AWS reference implementation for a tool-using AI assistant, with Slack and LINE adapters, memory, scheduled tasks, and Bedrock AgentCore.
Japan / Remote
I help teams design and ship reliable AI features for existing products, from early investigation and architecture through model selection, tool integration, permissions, and implementation.
I can join at any stage: clarifying an idea, reviewing architecture, comparing Bedrock models and cost, building MCP or tool integrations, improving agent reliability and permissions, or implementing the feature in an existing TypeScript or Go product.
An AWS reference implementation for a tool-using AI assistant, with Slack and LINE adapters, memory, scheduled tasks, and Bedrock AgentCore.
A self-hosted document server with SSH access for AI agents, a browser viewer, and a retrieval benchmark harness.
A local secret launcher that resolves envvault:// references from OS credential stores without putting raw secrets in .env files.
Aug 10, 2026
Correlate Go CPU profile samples with the exact OpenTelemetry trace and span that produced them.
Jul 6, 2026
An experiment in exposing project docs and agent work notes as a shell-native filesystem over SSH, with early MultiHop-RAG benchmark results.
Jul 6, 2026
A small local-first CLI that keeps real secrets out of project .env files by resolving envvault:// references at launch.
Implemented AI assistant features in a widely used business SaaS product.
Implemented an AI analysis feature around an existing product, business data, permissions, and product constraints.
I can help with investigations, reviews, prototypes, partial implementation, or end-to-end AI integration. Send the current context and where you would like support.