Custom AI agents
Single-agent or multi-agent systems with memory, tool calling, human review paths, external API access, and orchestration logic.
I design production-ready AI agents, orchestration pipelines, and workflow automations that connect tools, reason across steps, and replace hours of manual work. My stack includes LangGraph, Hermes, OpenClaw, GPT, Claude, OpenRouter, and practical deployment on VPS and cloud.
I focus on useful systems, not demo-only prototypes. The goal is to ship something that can actually be run, extended, and integrated into real work.
Single-agent or multi-agent systems with memory, tool calling, human review paths, external API access, and orchestration logic.
Automation pipelines that connect business tools and reduce manual steps across research, reporting, CRM, communication, and operations.
Deployment guidance, VPS setup, working demos, clean source code, and practical handoff so the system can keep running after delivery.
A few representative problem types I work on. This first version keeps the project stories short, and later we can expand each one into its own detail page or case study.
A LangGraph-based workflow for transcript analysis, routing, review logic, and structured reporting designed to show how agent systems can support real sales processes.
Production-oriented automations that connect language models, APIs, and business tools to remove manual work and create repeatable execution paths.
Research and intelligence systems shaped by a background in operations research, market analysis, and long-term exposure to crypto and blockchain ecosystems.
I’m Amir Alek, an engineer focused on AI automation, agentic workflows, and practical delivery. I care about systems that are useful in production: clear logic, real integrations, clean handoff, and an implementation path that makes sense outside a prototype demo.
My background combines operations research, mathematical thinking, market intelligence, and hands-on engineering. That mix helps me approach AI work as a systems problem, not just a prompting problem.
Best for founders, operators, and teams who need AI agents or automations that can actually be deployed, tested, and handed off cleanly.