Conversational AI and Chatbots
$1,997
Custom chatbots trained on your business voice and data.
Example
A tax firm bot that walks customers through return prep without burning staff hours.
Automate · thataiguy.org
AI engineering that does the work.
We build AI capabilities that earn their cost in the first month. No vague pilots, no science projects. Six productized services that map to specific business outcomes. Custom builds on top when the standard menu does not fit.
AI Services
Knowledge Bases and Retrieval
$2,497
Search your own documents and SOPs with citation backed answers.
Example
An insurance shop that finds the right policy clause in seconds.
Workflow Automation
$2,997
AI agents that handle repetitive process work end to end.
Example
A construction office where intake, scheduling, and quoting run themselves.
Voice and Audio Intelligence
$1,997
Call summaries, voice agents, audio transcription pipelines.
Example
A combat sports gym whose phone agent books trial classes and answers FAQ.
Vision and OCR
$1,997
Image and document understanding for inspection, intake, compliance.
Example
A real estate firm that scans contracts and pulls every key term automatically.
Custom Model Training
$2,997
Fine tuned models trained on your proprietary corpus.
Example
An ecommerce brand whose model writes product copy in their actual voice.
Research · MEGAMIND
A federated AI system, in production research.
MEGAMIND is our internal AI research project. A federated system running on Apple Silicon nodes that handles sensitive workloads without sending data to API providers. The work informs our client side AI architecture. The benefit shows up in your deployment as cleaner data paths and lower per query cost.
Public index · feedthejoe.com
Common questions.
Do you use OpenAI, Anthropic, Google, or open models?+
We use what fits the workload. ChatGPT and Claude are excellent for general reasoning and content. Open models from Llama, Qwen, and Mistral run on owned hardware when data privacy or per query cost matter. For domain specific work we fine tune our own.
Where does my data go?+
That depends on the deployment. For sensitive workloads we run inference on our own infrastructure including Apple Silicon nodes via our MEGAMIND research project. For lower stakes tasks we use API providers under their data retention policies. Every project documents the data path before code is written.
How do AI services integrate with my website?+
The website is the substrate. AI services attach to it via APIs, embeds, or sidecar services. Chat widgets, document upload endpoints, search interfaces, voice agents. The same content first architecture that makes the site rank also makes it a clean retrieval source for AI agents.
What does custom model training mean?+
Fine tuning a base model on your proprietary corpus so it produces output in your voice, applies your house rules, and references your products by name. Useful when generic models produce generic output and the brand voice matters.