Upwork home
Sign up
Project Catalog
DesignDesign
Video & AudioVideo & Audio
Development & ITDevelopment & IT
MarketingMarketing
Writing & TranslationWriting & Translation
MoreMore

You will get Rapid AI Product Audit

Matthew G.Status: Offline
Matthew G.
Preview image

Let a pro handle the details

Buy Generative AI services from Matthew, priced and ready to go.
Matthew G.Status: Offline
Matthew G.
Preview image

Let a pro handle the details

Buy Generative AI services from Matthew, priced and ready to go.

Project details

Rapid AI Product Audit — $2,000 in 5 business days.

We start with a 1-hour consult. We confirm goals, success metrics, and access checklist. After verifying access the 5 business day clock begins. Then I run a focused teardown of your prompts, agents, tool calls, logs, and costs to identify why features hallucinate, regress after “prompt fixes,” or run expensive/slow.

Deliverables (Day 5): a findings report and a prioritized fix list with impact/effort

Engagement model: audit/strategy only (no implementation).
AI Algorithms
Transformer Model
AI Applications
AI Chatbot, Conversational AI
AI Development Language
Python
AI Models
ChatGPT, GPT-3, GPT-4, LLaMA

What's included $2,000

These options are included with the project scope.

$2,000
  • Delivery Time 5 days
    • Model Documentation
    • Model Testing & Optimization
    • Prompt Engineering

Frequently asked questions

Matthew G.Status: Offline

About Matthew

Matthew G.Status: Offline
AI Product Auditor for Startups | Cut Hallucinations & Token Costs
Orlando, United States - 1:56 am local time
I help teams turn glitchy AI features into reliable products. I build and tune AI agents and Model Context Protocol (MCP) servers that wrap your existing APIs so AI can do work—not just chat. My specialty is auditing AI products to reduce hallucinations, stop regressions, and cut token spend without sacrificing quality.

Signs you need an audit:
- The app hallucinates or behaves inconsistently under load.
- A “prompt fix” breaks another flow—no evals to catch regressions.
- Token costs and latency keep rising without quality gains.
- Agents are brittle because tools and data contracts aren’t designed for autonomy.

What I do best:
- AI Product Audits: Root-cause analysis across prompts, retrieval, tools, agents and more. Giving you a prioritized fix list.
- Reliability & Evals: I take a scientific approach to evaluations (Evals for short) to help you quantify how well your prompts, workflows, or agents are performing.
- Cost & Latency Tuning: Token and context optimization, caching, and finding the right model(s) for your app for today.
- Agents & MCP Architecture: Production-grade MCP servers and tools that make agents dependable against real workflows.

Proof you can trust:
- Author — Build Your First MCP Server: A developer’s guide to wrapping existing APIs for AI agents.
- Public work: Tutorials and engineering notes at groff.dev; open-source examples for MCP servers and agents.

Steps for completing your project

After purchasing the project, send requirements so Matthew can start the project.

Delivery time starts when Matthew receives requirements from you.

Matthew works on your project following the steps below.

Revisions may occur after the delivery date.

1 Hour Consult

Book the 60-min call via a Calendly link I’ll send in Upwork Messages. We align on goals, scope, success metrics, and the access checklist.

Access

Provide repo access or a code zip, test credentials, and run instructions (local or dev/staging). I verify access we move to the next stage.

Review the work, release payment, and leave feedback to Matthew.