I will build ai agents with claude code, langchain, n8n and python


About this gig
Need an AI agent that actually ships not a prompt-engineered demo?
I am Nisar: MS Data Science, IBM-Certified Data Scientist. I build production AI agents using Claude Code as the dev loop, with LangChain, n8n, and OpenAI / Anthropic function-calling. 20+ shipped projects including NanoLM Studio my own custom transformer SaaS (FastAPI, React, PostgreSQL, Docker).
What you get:
- Multi-step AI agent with memory, tool use, and guardrails
- Integrations: CRM, database, Slack, email, APIs (100+ supported)
- Production error handling, retry logic, observability
- Dashboard or CLI for monitoring and control
- Full documentation plus 30-min handoff call
Typical builds:
- Customer-support agent trained on your help docs (one shipped cut ticket response from 4h to 90s)
- Lead-qualification + CRM update automation
- Scheduled report-generator agents pulling from your DB
- Research and competitor-monitoring agent
Why me:
Ship in 3 to 5 days (not 14). Unlimited revisions. 7-day post-delivery support. Claude Code's edit-fix-verify loop means tighter agents in fewer cycles.
Message me for a free 15-min scoping call, or hit Buy Now if you already have the spec.
Get to know Nisar Khan
AI Agent Developer Claude Code LangChain n8n Data Science Expert
- FromPakistan
- Member sinceDec 2022
- Avg. response time1 hour
Languages
Urdu, Pashto, English
My Portfolio
Other AI Development Services I Offer
FAQ
What is the difference between an AI agent and a chatbot?
A chatbot answers one question at a time. An AI agent executes multi-step tasks — thinks, uses tools (search, DB queries, API calls), remembers context, completes goals you set. I build the second kind.
Why Claude Code?
Claude Code's edit-fix-verify loop dramatically speeds up agent development vs pure prompt-chain coding. I ship production agents in days, not weeks. You get the built artifact; Claude Code is my development environment.
Which LLM does the agent use at runtime?
Whichever fits your budget and case. Anthropic Claude (Opus 4.7, Sonnet 4.6, Haiku 4.5), OpenAI GPT-4/5, Google Gemini 2.5. Hybrid setups possible — cheap model for triage, expensive for reasoning.
Do I need my own API keys?
Yes — you own the billing. I help you set this up in the handoff call.
Can you integrate with my existing CRM/database/Slack?
Yes. HubSpot, Salesforce, Pipedrive, Airtable, Notion, Google Sheets, PostgreSQL, MySQL, MongoDB, Slack, Discord, WhatsApp Business API, Telegram. If it has an API, I can connect it.
What is your guarantee?
Unlimited revisions until the agent works as specified. If after revisions it doesn't meet the written scope, you get a refund.
Do you offer ongoing maintenance?
Yes — $250/month retainer covers bug fixes, model-version updates, 2 new integrations/month, and 4 hours of improvement work.
Do you handle multilingual or non-English content in the agent or dataset?
Yes. I build agents that ingest and respond in Arabic, Spanish, French, German, Portuguese, and most LTR/RTL scripts — via the LLM's native multilingual capability plus a localization-QA partner on the translation layer.
What ROI have your agents produced?
One customer-support agent handled 68% of tier-1 tickets autonomously, cutting response from 4 hours to 90 seconds. Actual numbers depend on your use case — happy to walk through on a call.
What if my requirements change mid-project?
Write the revised scope in chat. If within the original package, we continue. If larger, we agree on a package upgrade. I never surprise-invoice.

