You will get a Voice Agent Prototype for Your Business, Phone or Web
Project details
You will get a voice agent that handles a real conversation on your script, wired to the tools it needs, with a console your team can supervise. I built a complete self-hosted voice agent end to end (streaming speech recognition, a function-calling model with product and order tools, and a speech model fine-tuned on my own voice), published voice-first agent stacks for restaurants and automotive dealerships, and analyzed 14,680 inbound calls for a nine-location service group to find where revenue leaked by hour of day.
Starter is a browser prototype on your script with real tool calls, enough to hear it and judge it. Standard puts it on a phone number with booking or lookup tools, transcripts and an operator review console. Advanced rolls it out across locations with CRM sync, human escalation, monitoring and staff training. You choose the speech and model providers, or I recommend based on cost and latency; you keep the code.
Starter is a browser prototype on your script with real tool calls, enough to hear it and judge it. Standard puts it on a phone number with booking or lookup tools, transcripts and an operator review console. Advanced rolls it out across locations with CRM sync, human escalation, monitoring and staff training. You choose the speech and model providers, or I recommend based on cost and latency; you keep the code.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, Automatic Speech Recognition, Conversational AI, Speech SynthesisAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$900
|
Standard
$2,500
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 30 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code |
Frequently asked questions
About Michael
Farm Architect | Automation & Tech Specialist, Low-Tech to High-Tech
Phoenix, United States - 12:08 pm local time
I ran a commercial mushroom farm in Phoenix from 2017 to early 2025, up to 1,200 to 1,500 pounds a week at peak across 35-plus species (Phoenix New Times, 2023), and I build working software: a retrieval knowledge base that answers with cited sources, an agent console on PyPI and npm with an approval gate, and a permit and parcel data pipeline built from a county's bulk records. Today I build tools and systems for growers at Crowe Logic, and Southwest Mushrooms is heading back into production through a joint venture I signed this summer in Orange County.
Start small. Every engagement begins with a fixed-price review of one decision or one workflow. You receive a written recommendation, the assumptions behind it, and a scoped next step. An unfavorable finding counts as delivery.
THREE WAYS TO START
Mushroom Plan Assumptions Review, $250. Send your production plan or spreadsheet. You get an annotated assumptions table, the three highest-priority risks, and the next change to test. For facilities in planning, I have built the operating pro forma, lender memo and building specification for a controlled-environment mushroom raise this year.
Permit and Public-Records Feasibility Check, $300. One jurisdiction, one record type. You get an access and availability memo, a sample with source and match-status fields, and a plain verdict on what is recoverable. Built from a live pipeline: 1.34 million assessor parcels screened to 768,904 owner-occupied rooftops, plus 25,501 permits from four jurisdictions, with address joins where the permit id is not a parcel number.
Agent Approval-Gate Test, $350. Five agreed cases run against your agent, with results and a prioritized fix list. My own console ships with an approval gate and a written action-risk policy, and a retrieval layer that cites the passage it used.
WHAT I BUILD AFTER THE REVIEW
Grower tooling and knowledge bases: species protocols, batch records, cited answers from your own documents. Agent systems with supervision: tool loops, approval steps, audit logs, evaluation sets that separate a model problem from an application defect. Full platform delivery: Next.js, React, FastAPI, Electron and Tauri; desktop apps shipped signed and notarized on macOS with Windows and Linux builds; Cloudflare Workers at the edge, Azure Container Apps, Postgres, Stripe metering. Voice agents: a self-hosted real-time voice agent with a speech model fine-tuned on my own voice, published as an open Space on Hugging Face.
PROOF YOU CAN CHECK BEFORE YOU HIRE
Live packages on PyPI and npm with a public changelog. A 195,000-subscriber education channel and a two-volume cultivation reference sold through my storefront. ORCID 0009-0008-5676-8816 with 26 DOI-backed works. Six and a half years as an AutoCAD drafter producing dimensioned commercial drawings before the farm. I can send a one-page proof sheet for any of the three offers, or a one-minute recording of the software doing the work.
Founder and CEO of Crowe Logic, Inc., a Delaware corporation based in Phoenix, Arizona. Send me the decision you are trying to make and what you already have. I will tell you plainly what it takes, what it costs, and what I would not build.
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Script and tools
Agree the conversations, the tools the agent may call, and the hard limits.
Prototype
Build the agent, run it against real scenarios, tune turn-taking and latency.