You will get Audit your AI agent system and find where it is lying to you
Project details
Your AI agents produce confident answers. Are they true?
Most agent systems fail quietly — not with an error, but with a plausible answer that is wrong. Data leaks into the evaluation. An error path fails open and nobody notices. A stale source keeps serving yesterday's numbers behind a green build. The demo looks perfect; production decisions rot.
I audit agent systems for exactly these failure modes and deliver a written report: every defect with evidence, a reproduction path, and what it costs you — plus a prevention checklist your team keeps and reuses.
Why me: I run my own production multi-agent system — two frontier AI systems (Claude + GPT) in mutual audit, 180+ numbered research iterations, with a ledger of honestly rejected hypotheses. I know where these systems break because I break and fix mine every week.
I don't write your code. I tell you what your agents are hiding.
Most agent systems fail quietly — not with an error, but with a plausible answer that is wrong. Data leaks into the evaluation. An error path fails open and nobody notices. A stale source keeps serving yesterday's numbers behind a green build. The demo looks perfect; production decisions rot.
I audit agent systems for exactly these failure modes and deliver a written report: every defect with evidence, a reproduction path, and what it costs you — plus a prevention checklist your team keeps and reuses.
Why me: I run my own production multi-agent system — two frontier AI systems (Claude + GPT) in mutual audit, 180+ numbered research iterations, with a ledger of honestly rejected hypotheses. I know where these systems break because I break and fix mine every week.
I don't write your code. I tell you what your agents are hiding.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI-Generated Code, AIOps, Anomaly Detection, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$495
|
Standard
$995
|
Advanced
$1,950
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 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.
Fast Delivery
+$250 - $500
Re-audit after your fixes
(+ 5 Days)
+$395Frequently asked questions
About Sergei
AI Agent Pipelines & Research Automation | Governance & Audit
Tivat, Montenegro - 5:18 am local time
WHAT I DO
• AI agent pipelines end-to-end: design, launch, operation (multi-agent systems, LLM orchestration, automation)
• Agent governance audits: I find where your AI agents are fooling you — leakage, fail-open paths, false confidence, missing controls
• Research & data operations on retainer: hypotheses, validation, acceptance, run by agents under my governance
PROOF OF WORK
For six years I've run an independent research program on CME futures & options data. Two years ago I moved it entirely to AI agents — two frontier AI systems (OpenAI + Anthropic) working in tandem: one executes, the other independently audits, iterating to clean acceptance.
• Production data pipeline: Databento, market data APIs, tick capture — Linux, systemd, Postgres, watchdogs, freshness/provenance contracts
• 180+ numbered research iterations, with a ledger of honestly rejected hypotheses and replication code
• Incidents caught before they poisoned results: source clock defects, concurrent-writer races, phantom data
• Six years of daily public FX analysis — shipped every single trading day since 2020
HOW I WORK
I don't type the code — AI agents do, faster and cheaper than any human. My value is everything around the code: task design, verification, governance, and knowing when a result is too good to be true. You get a working system AND a process you can trust.
Written-first, async-friendly. Based in Montenegro (CET), overlapping EU and US mornings. English (written-first) and Russian.
Start small: a fixed-scope pilot — two weeks, fixed price. If it's useful, we continue on a retainer.
Steps for completing your project
After purchasing the project, send requirements so Sergei can start the project.
Delivery time starts when Sergei receives requirements from you.
Sergei works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff
I review your architecture, prompts and examples, then confirm the scope in writing.
Adversarial probing
Replay of your real cases, control probes, hunting leakage, fail-open paths and staleness.