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English
$
USD
I will build a custom ai agent that automates your work using your own private data
rody weaver
About this gig
Off-the-shelf AI tools hit a wall the moment your workflow gets specific. A custom AI agent doesn't : it's built around exactly what you need automated, using your own data and logic.
I build AI agents in Flowise, an open-source, visual framework that lets me create exactly what a project needs instead of forcing your workflow into someone else's template. Agents that read your documents, call your tools, and complete real multi-step tasks.
What's included:
- Custom agent workflow mapped to your process
- Connection to your LLM of choice (OpenAI, Claude, open-source models)
- RAG setup so the agent answers from your own documents and data
- Tool and API connections for real actions, not just chat
- Self-hosted or cloud deployment, your choice
- Full documentation so the workflow isn't a black box
Because Flowise is open-source, you're never locked into a subscription just to keep the agent running - you own the deployment.
How it works: describe the task you want automated and what data or tools it needs to touch. I design the flow, build and test it against real inputs, then hand it over with documentation. Most builds are delivered in 4-7 days depending on complexity
Get to know rody weaver
rody weaver
AI Chatbots, Voice Agents and Automation Expert
- FromUnited Kingdom
- Member sinceApr 2026
- Avg. response time1 hour
Languages
English, German, French
Hi, I'm Rody, an AI Automation & Chatbot Developer helping businesses turn conversations into leads, bookings, sales, and automated workflows.
My expertise includes:
• AI Voice Agents: Vapi, Retell AI & ElevenLabs
• Voiceflow: GPT Chatbots
• ManyChat: Instagram, Facebook & WhatsApp Automation
• Flowise AI Agents, LLM, RAG & LangChain
• CRM, API & Calendar Integrations
• n8n, Make & Zapier Automation
I build reliable, tested AI systems around real business processes not generic demos.
Have an idea? Message me and let's automate it.
FAQ
What can an AI agent actually do that a chatbot can't?
A chatbot mainly answers questions. An agent takes multi-step action - it can read a document, decide what to do, call a tool or API, then act, not just reply. Think research-and-summarize, data lookup-and-respond, or automated triage.
What's RAG and do I need it?
RAG (retrieval-augmented generation) lets the agent answer from your own documents or database instead of only general knowledge. If your agent needs to know your specific product info, policies or data, you need it
Which AI models can it use?
Flowise connects to OpenAI, Anthropic's Claude, open-source models and more. I'll recommend the model that fits your budget and accuracy needs - it's not locked to one provider, and you can switch later.
Where does the agent actually run?
Your choice: a cloud server I help you set up, or self-hosted if you already have infrastructure. Either way you keep access and control - Flowise being open-source means no vendor lock-in.
How is this different from just using ChatGPT?
ChatGPT can't access your private data, call your tools, or run multi-step logic without you doing each step manually. The agent automates that entire process end-to-end, unattended.
What data or documents do you need from me?
Whatever the agent should reference - product docs, FAQs, spreadsheets, a database. Share what you're comfortable with in chat first; I'll confirm exactly what's needed for your specific workflow.
Can it connect to tools like Slack, email or my CRM?
Yes, through APIs or automation platforms like n8n and Zapier. Tell me which tools your workflow touches and I'll confirm the connection is possible before you order.
Is my data kept private?
Yes. RAG setups typically keep your data in your own vector database or storage rather than sending it to train any model, and I'll walk you through exactly where your data lives once it's built.
How complex a workflow can you build?
From a single-step agent to a multi-agent system where different agents handle different parts of a task. Basic covers one workflow; Premium is for genuinely complex, multi-tool automations.
What ongoing costs should I expect?
LLM API usage is billed per token on your own account - typically low unless volume is high, and I'll estimate this upfront. Flowise itself is free and open-source; hosting costs only if self-hosted.
