Jigar Patel

Typed dynamic-form engine for multi-tenant SaaS workflows with schema-driven runtime validation, versioned drafting, and role-based access control.

Secure repository for reputation + sensitive profile assets with envelope encryption, audit logging, and revocation-aware secret sharing.

Operational control plane for distributed OpenClaw deployments: command orchestration, agent health telemetry, and policy-based remediations.

Cloudflare Workers gateway layer that proxies private OpenClaw services through token-authenticated, VPC-aware edge endpoints.

Research-agent loop that chains idea generation, experiment execution, and evidence-based filtering to produce reproducible technical notes.

Production Next.js blog platform with MDX content loading, route metadata, authoring ergonomics, and deployment-ready static optimization.

OpenClaw plugin bridge for the Codex App Server protocol, supporting Telegram/Discord conversation binding, thread control, and action buttons through local Codex sessions.

Local-first Next.js clipping utility for saving URLs, tagging, markdown notes, and searching a growing reading queue with Prisma persistence.

How the brain moves memories from short-term storage into durable knowledge, and how AI systems can mimic that transfer with stable, explainable memory architecture.

Agent systems scale only when you define what is automatable, what is semi-automatic, and what must remain human-controlled.

Claude Code is strongest when your task needs command-level verification and tight feedback loops, not just conversational answers.

Codex is excellent at repetitive, well-defined work, but it should never be the last person deciding behavior in critical system code.

I automateed data quality end-to-end and got increased consistency.

A practical framework for deciding where AI agents should run autonomously and where human review remains non-negotiable.

I started by mapping failure paths first, then inputs, and only then happy paths.

Claude Code is strong for local reasoning and implementation, but it is most valuable when used as an execution engine inside a clear workflow.