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AI Agent Development Services

Codestreaks is a custom AI agent development company based in Austin, Texas. We design, build, and deploy production-grade agentic AI systems that take real work off your team's plate — in weeks, not quarters.

What We Build

Custom AI Agents

Purpose-built agents for one job done well — support triage, lead qualification, document processing, research and reporting.

Agentic Workflow Automation

Multi-step autonomous workflows that plan, call tools, and complete back-office processes end to end with audit trails.

Enterprise AI Agent Development

Agents that meet enterprise requirements: SSO, role-based access, human-in-the-loop approval, evaluation suites, and cost governance.

Agent Integration & Rescue

Already tried an agent that never made it past the demo? We harden prototypes into production systems — or rebuild them right.

Why Teams Hire Our Agentic AI Developers

  • Production-first: every agent ships with evaluation suites, logging, cost controls, and human-review checkpoints
  • 4–8 weeks from engagement to live deployment
  • 100% code ownership — your repository, your infrastructure
  • US-based company (Austin, TX) serving teams worldwide
  • Fixed-price scopes agreed before work starts

Proof, Not Promises

We build agentic systems for our own products and our clients'. HrefStack runs an autonomous content pipeline end to end, and our case studies cover AI products shipped across web and mobile. If you want the technical details of how we approach agents, read our practical guide to building AI agents.

Frequently Asked Questions

How much does AI agent development cost?

Most production AI agent projects at Codestreaks land between $10,000 and $60,000 depending on scope. A single-purpose agent (email triage, document processing) sits at the lower end; multi-step autonomous workflows with integrations, evaluation suites, and human-in-the-loop controls sit at the higher end. We scope fixed-price engagements after a free consultation, so there are no surprise invoices.

How long does it take to build a custom AI agent?

Typically 4–8 weeks from engagement to live deployment. Week one covers workflow mapping and evaluation design; the middle weeks cover agent construction, tool integrations, and guardrails; the final weeks cover testing against real data and production rollout.

What technology do you use for agentic AI development?

We build on frontier LLMs (Claude, GPT-4-class models) with orchestration in TypeScript or Python, using tool-calling, retrieval, and structured outputs. Every agent ships with logging, cost controls, evaluation harnesses, and human-review checkpoints — the parts demos skip and production requires.

Do you work with startups or only enterprises?

Both. Startups usually engage us to ship an agent-powered product feature fast; enterprises usually engage us to automate an internal workflow (support triage, back-office data pipelines, reporting). We are a US-based company in Austin, Texas, and work with teams worldwide.

Explore Further

Ready to Put an Agent to Work?

Tell us the workflow that eats your team's hours. We'll scope the agent that takes it over.

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