You will get We will audit your AI or RAG system and cut your LLM costs
Project details
Your AI system works, but it costs more than it should, answers less accurately than it should, or nobody on your team can explain why it behaves the way it does.
I will review it and tell you exactly what to fix, in what order. I look at retrieval quality (where your pipeline silently loses the right answer), cost structure (most systems send every query to their most expensive model), hallucination behaviour (what happens when the answer genuinely is not in your data), prompt and context handling, and whether the architecture survives 10x traffic.
I run a nine-person AI engineering team. We operate production RAG systems for real customers and have shipped MCP servers with multi-tenant OAuth. On one inherited support assistant we migrated the model, cut the agent chain from five agents to two, and reduced the knowledge base from 339 chunks to 245 — answer quality and cost both improved.
You get a written report your developers can act on immediately, with prioritized findings and effort estimates. Not a sales document. If your system is basically fine, I will say so. That happens, and you deserve to hear it.
I will review it and tell you exactly what to fix, in what order. I look at retrieval quality (where your pipeline silently loses the right answer), cost structure (most systems send every query to their most expensive model), hallucination behaviour (what happens when the answer genuinely is not in your data), prompt and context handling, and whether the architecture survives 10x traffic.
I run a nine-person AI engineering team. We operate production RAG systems for real customers and have shipped MCP servers with multi-tenant OAuth. On one inherited support assistant we migrated the model, cut the agent chain from five agents to two, and reduced the knowledge base from 339 chunks to 245 — answer quality and cost both improved.
You get a written report your developers can act on immediately, with prioritized findings and effort estimates. Not a sales document. If your system is basically fine, I will say so. That happens, and you deserve to hear it.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$850
|
Standard
$1,500
|
Advanced
$3,200
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | - | - | |
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$180 - $700About Peter
AI Dev Team (Germany) RAG, MCP Servers + AI-Power + Web & eCommerce
Haibach, Germany - 7:39 pm local time
Steps for completing your project
After purchasing the project, send requirements so Peter can start the project.
Delivery time starts when Peter receives requirements from you.
Peter works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1 — Access and context (day 1)
You share the code, prompts and sample question-answer pairs. I confirm scope in writing before starting, and flag anything missing immediately.
Step 2 — Retrieval and cost analysis (days 1-2)
I review chunking, embedding and retrieval, then map which model handles which request type and what that costs you per month.