You will get a production-ready AI agent discovery and architecture plan
Project details
Turn a broad AI-agent idea into a buildable, risk-aware delivery plan. This service is for founders and product teams who need clarity before committing to a larger implementation.
I will review the target workflow, users, data, integrations, constraints, security needs, and success criteria. You will receive practical artifacts—not a generic strategy deck.
Starter covers one workflow with a technical audit, risk review, architecture outline, and prioritized next steps. Standard expands discovery to two workflows and adds a data audit, integration plan, AI feasibility review, MVP scope, and milestones. Advanced includes the discovery deliverables plus one working proof of concept, repository handover, recorded walkthrough, and implementation plan.
The outcome is a clear decision: what to build, how to build it, what could fail, and the most efficient path to production.
I will review the target workflow, users, data, integrations, constraints, security needs, and success criteria. You will receive practical artifacts—not a generic strategy deck.
Starter covers one workflow with a technical audit, risk review, architecture outline, and prioritized next steps. Standard expands discovery to two workflows and adds a data audit, integration plan, AI feasibility review, MVP scope, and milestones. Advanced includes the discovery deliverables plus one working proof of concept, repository handover, recorded walkthrough, and implementation plan.
The outcome is a clear decision: what to build, how to build it, what could fail, and the most efficient path to production.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$250
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 1 | 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 Mohammad Aneeb
GenAI Solutions Architect | AI Agents, Voice AI & RAG
Islamabad, Pakistan - 1:45 pm local time
I work end to end—from workflow discovery and architecture to Python/Django APIs, React/Next.js interfaces, PostgreSQL/Redis, WebSockets, background jobs, Docker, CI/CD, and production handover.
Selected prior-role experience includes:
• Co-developing an AI medical-scribe MVP and contributing to a broader multi-tenant clinical platform with structured SOAP notes and FHIR-oriented workflows
• Building unified operations software spanning CRM, tasks, HR, QA, scheduling, client portals, and an AI assistant that executes permission-checked actions
• Designing AI and workflow systems with retrieval, guardrails, evaluations, human approval, and auditability
What I can deliver
• AI agents, RAG copilots, and document-intelligence workflows
• Voice AI systems with knowledge grounding and human escalation
• Multi-tenant SaaS and custom web platforms
• REST/WebSocket APIs, third-party integrations, billing, RBAC, and admin tooling
• Testing, Docker deployment, CI/CD, documentation, and technical handover
How I work
1. Define the workflow, users, data, and acceptance criteria
2. Surface technical and product risks early
3. Deliver a working staging build quickly
4. Share clear progress, tradeoffs, and demos
5. Hand over tested code and deployment documentation
Send me your workflow, existing stack, and deadline. I’ll reply with a realistic approach, key risks, and the clearest next step.
Steps for completing your project
After purchasing the project, send requirements so Mohammad Aneeb can start the project.
Delivery time starts when Mohammad Aneeb receives requirements from you.
Mohammad Aneeb works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and scope confirmation
Review your inputs, confirm the selected package, and define acceptance criteria.
Technical and data audit
Assess architecture, integrations, data readiness, security constraints, and delivery risks.