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AP3X-Dev/README.md

I build AI systems that do the work

Production-grade AI agents, tool platforms, and automations built to run in the real world

Available


What I Build

Agent platforms, voice automation, tool ecosystems, and full-stack products

🤖 AI Agents + Orchestration

Multi-step agents that reliably take actions, not just chat

Key Capabilities:

  • Tool calling with guardrails and approvals
  • Multi-agent workflows and routing
  • Memory, RAG, and knowledge graphs
  • Evals, tracing, and regression safety

🧰 Tool Platforms + MCP

Turn SDKs and APIs into safe, versioned agent tools

Key Capabilities:

  • Schema-first tools with validation
  • Secrets isolation and policy enforcement
  • Pack ecosystems (pip and npm)
  • MCP servers and tool catalogs

Voice + Automation

Voice agents and back-office automation that move faster than humans

Key Capabilities:

  • Real-time voice workflows and handoffs
  • CRM, calendar, and messaging integration
  • Background jobs, queues, and webhooks
  • Monitoring, replay, and incident-friendly logs

Get Started


How I Ship

Build fast, keep it safe, make it maintainable

🧭 Phase 1: Define

Requirements, risks, and the shortest path to value

Key Activities:

  • Problem framing and success metrics
  • Tool surface mapping and permissions
  • Data and memory design (RAG, KG, caching)
  • Threat model (prompt injection, secrets, abuse)

Typical: 3-7 days

🏗️ Phase 2: Build

Agent logic, tools, integrations, and UX

Key Activities:

  • Agent orchestration and tool runtime
  • Integrations (CRMs, email, calendar, APIs)
  • Evals, test harnesses, replayable traces
  • Observability (logs, metrics, cost tracking)

Typical: 2-5 weeks

🚢 Phase 3: Operate

Deployment, monitoring, and continuous improvement

Key Activities:

  • Production deployment and CI/CD
  • Rate limits, retries, idempotency
  • Policy updates and safety tightening
  • Ongoing improvements driven by telemetry

Typical: 1-2 weeks


Featured Projects

Flagship builds across agent infrastructure and high-polish product delivery

🎰 Solana Casino

Solana Casino

Full-stack DeFi gaming platform

  • Provably fair gameplay with real-time UX
  • Treasury and payout flows designed for safety
  • Performance-optimized system architecture
  • Tech: Rust/Anchor, React, WebSocket

🧰 RIG

RIG

Runtime Integration Gateway for agent tools

  • Pack-based tool ecosystem (pip and npm)
  • Policies, approvals, audit logs, secrets isolation
  • Tool catalog export and MCP server compatibility
  • Built for safe agent actions at scale

🔐 AVP

AVP

Credential lockbox protocol for agents

  • Least-privilege credential access for tool runtimes
  • Policy-driven secrets issuance and rotation
  • Auditable access trails and scoped grants
  • Designed for agent safety in production

Tech Stack

Tools I ship with day to day

AI + Agent Stack

Python FastAPI Pydantic LangGraph MCP OpenAI Anthropic OpenRouter

Data + Retrieval

PostgreSQL Redis Qdrant Neo4j

Infra + Delivery

Docker Kubernetes AWS Supabase Vercel Playwright Twilio Telnyx

Selective Web3 (When Useful)

Solana Rust TypeScript

GitHub Stats

Top Languages

GitHub Streak

Contribution Snake


Work With Me

If you need AI that actually runs in production, not a demo

What You Get

  • Clear scope and measurable outcomes
  • Secure tool execution patterns
  • Integrations that do not break
  • Evals and monitoring from day one
  • Clean architecture and documentation

💼 Engagement

  • Engagements start at $25,000
  • Fixed scope or milestone-based
  • Production deployment included
  • 60 days post-ship support
  • Ongoing support available

Schedule Call Email Me


Links

GitHub Twitter Discord


FAQs

What kinds of AI projects do you take on?
Agent platforms, tool runtimes, MCP servers, RAG systems, voice automation, and full-stack products that embed AI into real workflows.
How do you keep agents safe in production?
Schema-first tools, least-privilege permissions, secrets isolation, approval gates for risky actions, strong validation, replayable traces, and evals that prevent regressions.
Do you still work on blockchain?
Yes, selectively. If Web3 is actually the right tool for the job, I can ship it. The main focus is AI systems and agent infrastructure.
How long does a typical build take?
Most production agent systems ship in 4 to 8 weeks depending on integrations, data complexity, and required safety constraints.

Pinned Loading

  1. Solana-Casino Solana-Casino Public

    A platform that transforms any Solana meme token into a fully-featured casino ecosystem. Create engaging gambling experiences for your community with provably fair games, seamless wallet integratio…

    TypeScript 28 17

  2. AGENTIX AGENTIX Public

    Agentix is a Python framework for building AI agents

    Python 5 1

  3. SOL-CHAT SOL-CHAT Public

    A secure, decentralized peer-to-peer messaging application built on Solana blockchain with end-to-end encryption and file sharing capabilities.

    TypeScript 2 5

  4. Solana-Bank Solana-Bank Public

    A modern, secure banking application built on the Solana blockchain. Experience traditional banking features powered by Web3 technology.

    TypeScript 3 4