AI Agent Systems

Autonomous agents, reasoning loops, and tool orchestration built for production.

ENGAGEMENTfrom $5000

TIMELINE4-8 weeks

STACK

MastraTypeScriptOpenAIAnthropic

I design and ship AI agents that go beyond demos: grounded on your data, instrumented with tracing, and evaluated against real failure modes before they ever touch production traffic.

What you get

Agent architecture and tool design tailored to your domain
Evaluation harness with regression tests for every prompt path
Observability, tracing, and cost controls
Human-in-the-loop review for high-stakes decisions

// DELIVERABLES

Agent architecture & tool design
Evaluation harness
Observability & tracing
Human-in-the-loop review

// PROCESS

Discovery

Map the workflows, data, and failure modes that matter.

Prototype

A working agent on real data within two weeks.

Harden

Evals, tracing, and guardrails for production.

Ship

Deploy with monitoring, alerts, and handoff paths.

// AGENT_SAMPLE

typescript

import { Agent } from '@mastra/core'

export const supportAgent = new Agent({
  name: 'support-agent',
  instructions: `
    You are a support agent for Acme.
    Ground every answer in the provided documentation.
    If confidence is below threshold, escalate to a human.
  `,
  tools: { searchDocs, resolveTicket },
})

// ENGAGEMENT_MODELS

Fixed Scope

A well-defined agent system with a clear spec.

BEST FOR: single project

Retainer

Ongoing agent engineering and iteration.

BEST FOR: evolving systems

Audit

Review and harden an existing agent stack.

BEST FOR: existing teams

// FAQ

Can you work with our existing LLM stack?

Yes. I work with any provider — OpenAI, Anthropic, open-source models via providers — and will match whatever you already use.

How do you evaluate agent reliability?

Every agent ships with an evaluation harness: golden datasets, regression tests for each tool path, and tracing to catch drift after launch.

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