I will build ai agents, rag, llm evaluation, API integration and workflow automation


About this gig
Let your team find a sourced answer and complete an approved task in one place.
I build AI agents and RAG assistants that retrieve relevant documents, cite their sources and connect to the tools your team already uses.
Choose your first useful win:
- Find answers from company documents.
- Move an approved task through your CRM or API.
- Review answer quality with practical LLM evaluation.
Have one task in mind? Share its steps and a sample document. I'll identify a focused starting point before you commit.
Built around your rules.
Your workflow uses clear tool permissions, human approval for write actions and tests based on real questions. RAG adds context from your data; it does not make every answer correct. You get test results and a defined fallback when the assistant lacks enough evidence.
Python, LangChain or n8n can support the agreed solution. Source code and setup instructions are included; model and hosting fees remain in your accounts.
Message me with the task you want off your team's plate. Let's scope an AI workflow you can actually use.
Get to know Rohn
SaaS backends and AI integrations that turn your ideas into useful systems
- FromUnited States
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English, Spanish, French, German, Italian
FAQ
Is RAG the same as training a model on my business data?
RAG retrieves relevant material from your documents when a question is asked. It does not retrain the underlying model. This gig covers retrieval and integration; model fine-tuning and training require a different scope.
What happens when the agent gives an incorrect answer?
We agree on representative questions and expected behavior, then review an evaluation report. Answers can include sources, and missing evidence triggers a fallback. Human review remains necessary for important decisions; perfect accuracy is not promised.
Will the agent send emails or change records by itself?
Write actions use a human approval step in these packages. We define allowed actions and permissions before development. The system is tested with sandbox credentials before connecting the agreed live workflow.
Are the AI model and hosting subscriptions included?
You pay the model, hosting, storage and any automation-platform subscriptions in your own accounts. I can estimate expected usage during scoping. The package price covers the agreed implementation and handover.
Can this connect to my existing CRM or internal software?
Yes, when the system provides a suitable API and you can grant the required access. Send the API documentation and desired operation first. The integration count refers to the operations listed in your package, not unlimited changes.
