You will get a custom AI automation for one business process, built & documented
Project details
You know the process you want automated — this is where it gets built. I take one workflow that eats your team's hours (intake, triage, drafting, reporting, follow-up) and turn it into an automation that runs itself, with a human approving the output where it matters.
What you get: the automation built and integrated into your existing tools — email, CRM, support desk, spreadsheets — plus documentation your team can actually follow and a live handoff walkthrough. Fixed scope, milestone-based, no surprise hours, and an explicit out-of-scope list so you know exactly what you're buying.
I build these full-time. At Meta, I architected an AI automation system serving ~35 engineering teams: it ingested live support signals, pattern-matched issues, and drafted fixes with human-in-the-loop approval. I've compressed a 2-month onboarding process into ~30 minutes of automation. Now I bring the same patterns to small-business scale — without the enterprise timeline or price.
Not sure the workflow is worth automating? Start with my AI Workflow Audit project — it's cheaper, and the fee is credited toward this build within 30 days.
What you get: the automation built and integrated into your existing tools — email, CRM, support desk, spreadsheets — plus documentation your team can actually follow and a live handoff walkthrough. Fixed scope, milestone-based, no surprise hours, and an explicit out-of-scope list so you know exactly what you're buying.
I build these full-time. At Meta, I architected an AI automation system serving ~35 engineering teams: it ingested live support signals, pattern-matched issues, and drafted fixes with human-in-the-loop approval. I've compressed a 2-month onboarding process into ~30 minutes of automation. Now I bring the same patterns to small-business scale — without the enterprise timeline or price.
Not sure the workflow is worth automating? Start with my AI Workflow Audit project — it's cheaper, and the fee is credited toward this build within 30 days.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Content Creation, AI-Enhanced Classification, Anomaly Detection, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$1,250
|
Standard
$2,500
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 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 Phineas
AI Automation Consultant | Agentic Workflows, Claude & GPT
New York, United States - 4:51 pm local time
I learned this at Meta, where as a business analyst I architected an AI-powered feedback system serving ~35 engineering teams: it ingested live support signals, pattern-matched across thousands of issues, and drafted documentation fixes and product proposals in real time. Now I do this full-time for businesses like yours.
What that means for you: I've done this at enterprise scale — and your project gets my full attention, without the enterprise price tag or timeline.
What I build:
AI workflow automation — intake, triage, drafting, and follow-up processes that run themselves with a human approving the output
Claude / GPT API integrations into your existing stack (CRM, support desk, internal tools)
Custom AI agents and chatbots grounded in your actual business data (RAG)
Data pipelines, SQL/Python analytics, and dashboards that turn your operational data into decisions
Why clients work with me instead of a pure developer:
I started as a business analyst, which means I scope the problem before writing a line of code. Most failed AI projects fail at the workflow level, not the code level. I map your process first, find the highest-leverage step, and build exactly that.
At Meta I compressed a 2-month onboarding process to ~30 minutes of automation plus one week of structured training. At Accenture I led platform delivery for Fortune 500 clients, managed onshore/offshore teams, and implemented security compliance controls that saved ~400 engineering hours.
How I work:
Fixed scope, clear milestones, documented handoff. This is my main work, not a side project — expect fast responses and real availability. You'll get a system your team can actually run after I'm gone, complete with documentation and a walkthrough.
Tools: Claude Code, OpenAI & Anthropic APIs, Python, SQL, FastAPI, Supabase, Neo4j, Salesforce.
If you have a process that eats hours every week, send me a message describing it. I'll tell you honestly whether AI automation is the right fix — and if it isn't, I'll tell you that too.
Steps for completing your project
After purchasing the project, send requirements so Phineas can start the project.
Delivery time starts when Phineas receives requirements from you.
Phineas works on your project following the steps below.
Revisions may occur after the delivery date.
Scope Call
We define exactly what gets automated, what tools it touches, and what "done" looks like — in writing, before any build starts.
Access & setup
You provide access to the tools involved (I'll send a checklist); timeline shifts day-for-day if access arrives late.