# A.I. Automation — Services

Seventy-six percent of businesses use A.I. Fourteen percent have integrated it. I close the gap.

**Rate**: from $125/hr

## The problem

You've tried ChatGPT. Your team has experimented with Copilot, perhaps a chatbot, perhaps a summarizer. None of it stuck—not because the tools don't work, but because trying isn't integrating. The barrier isn't awareness, and it isn't cost. It's architecture—knowing which tasks are automatable today, which tools to trust, and how to build workflows that survive contact with your real data.

## What I build

- **Workflow audit** — Map every recurring task, identify what's automatable with current tools.
- **Claude Code agents** — Custom A.I. agents that execute multi-step tasks autonomously: research, data extraction, report generation, content drafting, code review.
- **API integrations** — Connect Slack, email, CRM, spreadsheets, and databases into unified pipelines.
- **Data pipelines** — Extraction, transformation, and reporting workflows from live sources.
- **Monitoring and alerts** — Autonomous watchers for competitors, inventory, pricing, reviews.

## Automation Example

```bash
# Deploy a Claude Code agent for email triage
claude -p "Read incoming emails from the support inbox, \
  classify by priority (P0-P3), draft responses for P2-P3, \
  flag P0-P1 for human review. Output to #support-triage Slack channel."

# Schedule daily inventory monitoring
claude -p "Check competitor pricing on [URLs], \
  compare against our current prices, \
  alert #pricing-alerts if delta > 5%."
```

## LLM fine-tuning

| Method | Use Case | Infrastructure |
|--------|----------|---------------|
| LoRA | Lightweight adapter training | Mac Mini M4 (Unsloth-MLX) or cloud GPU |
| SFT | Knowledge injection | HuggingFace Jobs, Lambda Labs H100 |
| DPO | Behavior shaping | Synthetic data with cognitive metadata |

Proof: Conscious parenting advisor fine-tuned on a 4-book corpus — 59 psychological concepts, 698 behavioral indicators, **92% concept detection accuracy**.

## Model hosting

- **GPU fleet** — Lambda Labs H100 with TensorRT-LLM and SGLang
- **Local inference** — Ollama, MLX, and llama.cpp on Apple Silicon
- **Multi-provider routing** — OpenRouter, Groq, Baseten, Anthropic, OpenAI with automatic fallback

## Evaluation and safety

- **LLM-as-judge** — 5 providers tested head-to-head
- **17-metric framework** — Citation density, recall, precision, faithfulness, answer relevancy
- **Adversarial testing** — 30+ scenarios targeting clinical safety protocols

## What you get

- Workflow audit with prioritized automation opportunities
- Custom-built A.I. agents, tested and deployed
- API integrations connecting your existing tools
- Documentation for team maintenance
- 30 days post-deployment support

## Ideal for

Startups, growth-stage companies, and enterprise product teams who need A.I. automation, custom model training, or production-grade LLM evaluation.

## Contact

[Book a workflow audit](/contact) | [calendly.com/tomdimino](https://calendly.com/tomdimino/)