You will get AI agents and AI assistants using OpenAI, LangChain, Python, and APIs
Rising Talent
Project details
I will build a custom AI agent or AI assistant that can understand user requests, follow defined task logic, connect with APIs or tools, and help automate business workflows using OpenAI, LangChain, Python, and backend integrations.
This service is ideal for AI lead assistants, support assistants, research assistants, document assistants, workflow agents, operations assistants, internal task automation, and SaaS AI features.
The agent can answer questions, classify information, summarize data, call APIs, trigger workflows, update records, process documents, generate outputs, or assist users inside your app or internal system.
Depending on your package, I can create a simple focused AI assistant, an AI agent with API/webhook integration, or an advanced multi-step AI agent system with memory/context handling, backend API, dashboard or interface if required, error handling, deployment support, documentation, and handoff.
This service is ideal for AI lead assistants, support assistants, research assistants, document assistants, workflow agents, operations assistants, internal task automation, and SaaS AI features.
The agent can answer questions, classify information, summarize data, call APIs, trigger workflows, update records, process documents, generate outputs, or assist users inside your app or internal system.
Depending on your package, I can create a simple focused AI assistant, an AI agent with API/webhook integration, or an advanced multi-step AI agent system with memory/context handling, backend API, dashboard or interface if required, error handling, deployment support, documentation, and handoff.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, StreamlitAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$399
|
Standard
$999
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 26 days |
Number of Revisions | 1 | 2 | 1 |
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
+$100 - $350
Additional Revision
+$75About Isaar
AI Automation Engineer | SaaS MVPs, RAG, AI Agents, Python & FastAPI
Bristol, United Kingdom - 3:04 am local time
Common usecases : AI workflow tools, CRM, B2B platforms, e-commerce, API platforms, document parsing and file management systems, business dashboards, payment integrations.
Core stack : Python, Django, FastAPI, React, Next.js, PostgreSQL, MySQL, Redis, REST APIs,
AI integrations : n8n, Zapier
LLMs : OpenAI, Gemini AI, OCR, Llama, Langchain, CrewAI
DevOps : AWS, Google Cloud, Docker, Git
Payment integrations : Stripe, Cashfree, HyperPay, Tabby, and Tamara.
Production-ready systems with clean backend architecture, secure APIs, well-structured databases, automation logic, AI integrations, and intuitive dashboards designed to support real business operations.
My approach :
- understand the business goal, plan clear milestones,
- Translate business requirements to technical specs with clear scope
- Clear and regular communication.
- Deliver on time, matched to specs.
Steps for completing your project
After purchasing the project, send requirements so Isaar can start the project.
Delivery time starts when Isaar receives requirements from you.
Isaar works on your project following the steps below.
Revisions may occur after the delivery date.
Agent Scope Review
I will review your business goal, agent task, tools, APIs, allowed actions, sample data, and expected output.
Agent Logic Design
I will design the AI agent flow, prompts, tool/API actions, backend structure, and execution logic.