What does Tamez Labs do?

Three things, in order. Build: product design and engineering, from interface to shipped software. Operate: AI systems deployed into how a business actually runs, which is the majority of our work and covers creative production, business operations, and custom agents. Grow: content and distribution systems that publish at volume without adding headcount.

How is Tamez Labs different from the deployment companies launched by Anthropic, OpenAI, AWS, and Microsoft?

Those teams are excellent and they are also owned by the vendor whose model you will end up standardizing on. Tamez Labs is independent. We pick the model per workload across Claude, GPT, Gemini, and open-weight models like Llama and Qwen, we route and swap as prices and capabilities move, and nothing we build is designed to keep you on one contract.

What AI stack does Tamez Labs use, and how do you pick a model?

There is no single best model, and anyone who tells you otherwise is selling one. We benchmark on your cases and route each step to whatever wins it: frontier models where reasoning matters, open weights where volume matters, all behind a layer that lets you swap either without a rewrite. Models: Claude, GPT, Gemini, Llama, Qwen, DeepSeek, Kimi. Serving and private deployment: Ollama, vLLM, AWS Bedrock, Vertex AI, Azure AI. Orchestration: MCP (Model Context Protocol), LangGraph, Temporal, n8n. Data and retrieval: Supabase, Postgres, pgvector, Pinecone. Evals and observability: Braintrust, LangSmith, Arize, OpenTelemetry. Voice and media: ElevenLabs, Whisper, ComfyUI.

How do you price engagements?

Fixed scope and a fixed number, agreed in writing before any work starts, rather than hourly billing. The AI Deployment Audit is 7500 US dollars, and it is free if we build it: the full amount is credited against your project if you hire us for the build. Because the three service lines differ so much, we quote the rest after a short scoping call, and we give a realistic range on that first call rather than making you wait for a proposal. A written capabilities and rate summary is available on request.

How fast can you get an AI workflow into production?

Around three weeks for one narrowly scoped workflow, measured from the day we get access. The constraint is scope discipline rather than engineering speed. Most AI projects stall because they were scoped as a platform, so we scope one workflow with a clean before-and-after metric, ship it, then do the next one.

Yes. Everything is built in your repositories, your cloud, and your accounts. You own the code, the prompts, the eval suites, and the runbooks. Every engagement ends with a handoff designed to make your team self-sufficient without us.

Can you deploy AI on our own hardware or inside our network?

Yes. Where cost, privacy, or regulation requires it, we deploy open-weight models on your own infrastructure using Ollama or vLLM inside your VPC or on local machines, so no data leaves your network. This is routine work for us rather than an exception.

Can you work on an AI system we already built?

That is most of what we do. We start with a short paid assessment and tell you honestly whether it is a fix, a rebuild, or a project that should be stopped before it consumes another quarter.

Do we have to buy all three services?

No, and most clients do not. Pick the lane you are stuck in. The reason Build, Operate, and Grow live under one roof is that the handoffs between a design shop, a dev shop, and an AI vendor are where projects usually die.

Deploy AI inside your business

Q: What kinds of AI workflows do you deploy?

Creative operations such as video versioning, audio and voice production, image generation locked to a brand, and copy drafting. Business operations such as customer support drafting and deflection, sales research and follow-up, document processing, scheduling, and finance exception triage. And custom systems: autonomous agents with guardrails, closed data loops where production output becomes training data, and private or on-premise deployment on hardware you control.

Ship products faster, 10x your work, and hack growth with our forward deployed engineers

Get Audit Request Intro

MODELS & STACK WE DEPLOY

Claude GPT Gemini Llama Bedrock Ollama

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START HERE

KNOW WHAT IT COSTS

Don't waste your money building the wrong thing. We designed our AI audit to deliver the best strategy for your business. If you hire us to build it, the audit is free, credited in full against your project. If you already know what you want, we'll scope it. If you aren't sure yet, start here.

AI DEPLOYMENT AUDIT

One week · kickoff within 5 days · remote · on-site extra

Diligence on the viability of your project
AI model assessment, usage and costs, risk analysis
One workflow selected, scoped, and priced — easy to decide

FREE IF WE BUILD IT

$7,500

Buy now

Know what you want?

If you have already decided what you want, we can scope and build it for you. Get in touch today.

Get in touch

01 · BUILD

DESIGN, ENGINEER, SHIP

"We know what we want and need someone who can ship."

We design & build end to end technology. We can fast track demo apps, build MVPs, and ship full production products to market.

Design

Product, UX, UI

Prototypes, design systems, brand and identity

Engineer

AI, Software, Hardware

Apps, mobile, web, iOS, Android, APIs, SDKs

Ship

App Store, Real users

Release, admin dashboard, handoff docs, analytics

Case study: We designed, engineered, and shipped a production AI research application and SDK with Mars Inc. One SDK now scales across 12 apps and is adopted company-wide.

Start a conversation → Tell us what you want to build

02 · OPERATE

AI DEPLOYED FOR YOU

"We need an AI expert to take us to the next level."

We are AI natives. We embed with your team, pick the right AI models for the job, put real workflows into production, and hand it off so you own it.

BUSINESS AI

Workflows

Back office and front line work that eats your time

Customer support, sales, admin, finance, knowledge

GENERATIVE AI

Creative

Production pipelines for agencies, studios, and media

Video, audio, image, copy, asset management

CUSTOM AI

Systems

AI that runs on private hardware you control

Agents, AI PCs, data loops, open models, cost control

Case study: We built an autonomous agent making real-money trading decisions on live markets, with confidence-scaled sizing, tiered circuit breakers, a kill switch, and zero human intervention.

What's your workflow? → We'll tell you if it's worth doing

03 · GROW

GET ATTENTION AT SCALE

"We can't break through the noise on social media."

Most people can't make content or crack the algorithm. We build systems that produce and tune content every day without adding headcount.

Content

Media production pipeline to turn ideas into a firehose

Research, assets, calendar, formats, brand voice, volume

Distribution

Publishing made for how each platform's algorithm works

TikTok, YouTube, IG, AI SEO, RSS, websites, newsletters

GTM

Strategy, launch, and loops to learn what works for you

Positioning, campaigns, data loops, measurement, reports

Case study: We built and run Grep News — a multi-agent system that researches, writes, edits, and publishes a 12 show podcast network. Autonomous and human in the loop systems.

Let's chat marketing → Tell us what you want to achieve

COLLABS

OUR WORK

MARS INCORPORATED

AI Research App & SDK

Designed, engineered, and shipped a production AI research application and SDK in collaboration with Mars (M&M's). SDK scales across 10+ apps and the entire company division.

KALSHI BOT

Autonomous Trading AI

Designed and operate a fully autonomous AI trading agent making real-money decisions on live markets. Confidence-scaled position sizing, circuit breakers, and kill switch.

GREP NEWS

Multi-Agent Content System

Built a 12-show podcast network with a multi-agent system that researches, writes, edits, generates audio visual media, and publishes daily episodes. The future of news in an AI newsroom.

MORE CLIENTS & COLLABORATORS

Coca-Cola Red Bull GoingVC WeFunder Twitter Aspen Ski Co

FAQ & ANSWERS

WHAT PEOPLE ASK BEFORE THEY BUY

What do you actually do?

Three things. Build: product design and engineering, from interface to shipped software. We have also built hardware. Operate: AI systems deployed into how your business runs day to day - currently in high demand. Grow: content and distribution systems that publish at volume without a bigger team.

What AI workflows can you deploy?

Business: customer support, sales research and follow-up, document processing, scheduling, finance exception triage. Creative: video versioning, voice and audio, brand-locked image generation, copy drafting. Custom: autonomous agents with guardrails, data loops, and private deployment on hardware you control.

How do you price?

Fixed scope, fixed number, agreed in writing before anything starts. The AI Deployment Audit is $7,500, and it's free if you hire us — credited in full to your project. Beyond that, we quote after a short scoping call, not in a proposal weeks later. Request a free call, and we can hammer out a budget for your project.

How is this different from Anthropic's or OpenAI's deployment teams?

They're great for large enterprises. They sell and deploy their own AI models, and clients are locked to Claude or GPT. We are independent and model agnostic. We pick the model per workload, route across providers, and swap them as prices and capabilities move. Best for SMBs.

What AI stack do you use, and how do you pick a model?

There is no single best model, and anyone who tells you otherwise is selling one. We benchmark on your cases and route each step to whatever wins it — frontier models where reasoning matters, open weights where volume matters, all behind a layer that lets you swap models without a rewrite.

MODELS

ClaudeGPTGeminiLlamaQwenDeepSeekKimi

SERVING & PRIVATE DEPLOYMENT

OllamavLLMAWS BedrockVertex AIAzure AI

ORCHESTRATION

MCPLangGraphTemporaln8n

DATA & RETRIEVAL

SupabasePostgrespgvectorPinecone

EVALS & OBSERVABILITY

BraintrustLangSmithArizeOpenTelemetry

VOICE & MEDIA

ElevenLabsWhisperComfyUI

Can you run AI on our own hardware?

Yes. Where cost, privacy, or regulation demands it, we can self-host open-weight models on your infra. Get Ollama or vLLM in your VPC or on local machines, so no data leaves your network. Think health, legal, and finance sectors.

Can you take on a thing we already built?

Yes. This is a common request. We start with a short paid assessment and tell you honestly whether it's a fix, a rebuild, or a project that should be stopped before it eats any more of your time and resources.

Do we own the code?

Yes, code lives in your repos, your cloud, and your accounts from day one. Code, prompts, eval suites, runbooks. Every engagement includes handoff docs to make your team self-sufficient. And, if you'd like ongoing support, we can provide the resources you need.

How fast can we get to production?

It's about three weeks for one narrowly scoped workflow, from the day we get access. The constraint isn't engineering speed, it's scope discipline. Many AI projects fail because they were scoped too broadly. We ship one workflow with a metric attached, then do the next one.

CONTACT

REQUEST A MEETING

Tell us what you're looking for. We will reply within one business day.

Danny Tamez
Managing Director
Text: 737-377-4093

                                            

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Deploy AI inside your business

CRUSH YOUR BIG GOAL

KNOW WHAT IT COSTS

Know what you want?

DESIGN, ENGINEER, SHIP

AI DEPLOYED FOR YOU

GET ATTENTION AT SCALE

OUR WORK

TESTIMONIALS

WHAT PEOPLE ASK BEFORE THEY BUY

REQUEST A MEETING

Deploy AI inside your business

CRUSH YOUR BIG GOAL

KNOW WHAT IT COSTS

Know what you want?

DESIGN, ENGINEER, SHIP

AI DEPLOYED FOR YOU

GET ATTENTION AT SCALE

OUR WORK

TESTIMONIALS

WHAT PEOPLE ASK BEFORE THEY BUY

REQUEST A MEETING

Request received