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You will get AI Systems Advisor – Execution-Grade LLM & Agent Architecture
Project details
I provide execution-grade AI advisory for teams deploying LLMs and agent workflows in real production environments.
Most AI systems look impressive in demos but fail once they run at scale—costs become unpredictable, latency grows with each step, and agent behavior becomes difficult to govern. These failures don’t come from the model. They come from the execution layer.
With 18+ years operating enterprise systems and hands-on experience designing execution-layer AI architectures, I help teams understand where their AI systems will break, why it happens, and how to fix it—without writing code.
This engagement delivers a clear, written assessment of cost, latency, reliability, and vendor risk, along with practical architecture recommendations your team can implement confidently. No hype. No prompts. Just execution-grade guidance you can trust.
Most AI systems look impressive in demos but fail once they run at scale—costs become unpredictable, latency grows with each step, and agent behavior becomes difficult to govern. These failures don’t come from the model. They come from the execution layer.
With 18+ years operating enterprise systems and hands-on experience designing execution-layer AI architectures, I help teams understand where their AI systems will break, why it happens, and how to fix it—without writing code.
This engagement delivers a clear, written assessment of cost, latency, reliability, and vendor risk, along with practical architecture recommendations your team can implement confidently. No hype. No prompts. Just execution-grade guidance you can trust.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorchAI Models
BERT, ChatGPT, GPT-4, GPT-Neo, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$349
|
Standard
$999
|
Advanced
$2,499
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 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 | - | - | - |
Optional add-ons
You can add these on the next page.
Extra 60 Minute Advisory Call
(+ 1 Day)
+$199
Vendor comparison memo (2–3 options)
(+ 2 Days)
+$299
Cost/latency model (spreadsheet + assumptions)
(+ 2 Days)
+$499Frequently asked questions
About Sean
Senior AI Advisor | LLM Agent Cost/Latency Optimization | Loop Fixes
Continental, United States - 8:33 am local time
I help organizations use AI and automation to eliminate manual work, simplify operations, and ship practical tools that people actually adopt. I have 18+ years in enterprise IT leadership (Fortune 4), so I bring real-world execution discipline: reliability, security, governance, vendor constraints, and change management—without slowing things down.
What I do:
-AI automation & agents: end-to-end workflow automation, AI assistants, agentic workflows with logging/guardrails/human review.
-AI MVP builds: working MVPs and internal tools integrated with your stack; lightweight backends, dashboards, rapid iterations.
-Systems & SOPs: simple SOPs, checklists, handoffs, escalation paths to reduce chaos.
-IT strategy & vendor optimization: infrastructure modernization, cost control, vendor/licensing strategy, contract consolidation.
-GTM support: offer packaging, pricing, messaging, and simple sales/ops systems.
Why work with me:
-18+ years leading critical IT systems and teams, including 24x7 operations.
-$1M+ cost savings delivered through vendor strategy and negotiation.
-Comfortable bridging strategy and execution: define the plan, then build the thing.
-Clear communication, tight scope control, predictable delivery.
If you have a workflow that’s messy, expensive, or slow—or an AI product you want to get into users’ hands—send me the context and I’ll recommend the fastest path to a working result.
Steps for completing your project
After purchasing the project, send requirements so Sean can start the project.
Delivery time starts when Sean receives requirements from you.
Sean works on your project following the steps below.
Revisions may occur after the delivery date.
System intake & mapping Description:
Review materials and map the execution flow, agent depth, context growth, and decision points.
Execution-layer analysis
Assess cost behavior, latency sources, failure modes, model routing, and vendor risk under real workloads.