You will get AI Agent Orchestration — 48h Sprint for "Impossible" Tasks


Project details
I don't write code from scratch. I orchestrate teams of AI agents (DeepSeek, Claude, Gemini, GPT) to solve technical problems your team called "impossible."
My method is simple: decompose the problem → deploy multi-agent teams → cross-validate solutions → verify at byte-level. I read source code, inspect payloads, and check signatures to determine which AI-generated solution is actually correct — before it touches your infrastructure.
What you get: a production-ready system in 48 hours, not 3 weeks. Zero blind trust. No vendor lock-in. Just verified results that run under your control, not in someone else's cloud.
Specialized in: OpenClaw Gateway federation, AI security hardening, protocol reverse-engineering, and breaking-changes adaptation.
My method is simple: decompose the problem → deploy multi-agent teams → cross-validate solutions → verify at byte-level. I read source code, inspect payloads, and check signatures to determine which AI-generated solution is actually correct — before it touches your infrastructure.
What you get: a production-ready system in 48 hours, not 3 weeks. Zero blind trust. No vendor lock-in. Just verified results that run under your control, not in someone else's cloud.
Specialized in: OpenClaw Gateway federation, AI security hardening, protocol reverse-engineering, and breaking-changes adaptation.
Programming Languages
Python, Java, TypeScriptCoding Expertise
Localization, Performance Optimization, SecurityWhat's included $600
These options are included with the project scope.
$600
- Delivery Time 3 days
- Number of Revisions 3
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$100Frequently asked questions
About Farkhad
Autonomous AI Orchestrator | Local AI & OpenClaw | Self-Hosted LLM
Almaty, Kazakhstan - 5:40 am local time
to architect, validate, and deliver production-ready systems. This works beyond AI:
any integration, protocol, or infrastructure challenge teams call "impossible," I break
into solvable steps and verify at byte-level.
I don't write code from scratch, and I don't trust AI outputs blindly. I read source
code, inspect payloads, and verify signatures to determine which AI-generated solution
is actually correct — before it touches your infrastructure.
What I deliver:
• Local AI Infrastructure — LAN federation of OpenClaw Gateways, WebSocket
orchestration, Ed25519 device authentication. Zero external dependencies.
• AI Security — Physical action blocking (Lobster Guard plugin), least-privilege
access, zero-trust networks. Built for fintech, medical, regulated industries.
• Breaking Changes Adaptation — Migrated clients across OpenClaw releases
(2026.5.7 → 2026.5.18) with zero downtime. Protocol evolution, key rotation.
• Frontier AI Evaluation — Weekly testing of new models (DeepSeek, Claude, Gemini,
GPT) so your stack uses the best available tech.
Recent results:
• Linked Linux + Windows OpenClaw Gateways via WebSocket with full cryptographic
device identity. 12 hours reverse engineering, 8 protocol errors solved. Working
system in 48 hours vs 3 weeks estimated by traditional DevOps.
• Built security plugin with dual-confirmation blocking for dangerous LLM actions.
0 security incidents over 6 months in production.
• Integrated VKontakte communities with local AI agents via HTTP REST. 100%
on-premise, fully compliant with data residency requirements.
You get: systems that run under your control, not in someone else's cloud.
No data leaks. No vendor lock-in. No blind trust. Just verified results.
Steps for completing your project
After purchasing the project, send requirements so Farkhad can start the project.
Delivery time starts when Farkhad receives requirements from you.
Farkhad works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & decomposition
I analyze your problem, read source code if needed, and break it into solvable sub-tasks for AI agent teams.
Agent orchestration
Deploy multi-agent teams to architect, code, and validate solutions. Cross-check every output at byte-level.