AI Agent Development | Fixed price MVP

Pro

Linden Jensen-Page

Starting at

2,500

About this service

Summary

I build AI Agents that automate business processes, enhance decision-making, and streamline customer interactions. Leveraging advanced LLMs like OpenAI GPT-4o and Google Gemini, I develop intelligent chatbots, sales automation tools, and personalised knowledge bases. My expertise includes Retrieval-Augmented Generation (RAG), multi-agent workflows, and seamless API integrations with CRMs (HubSpot, Pipedrive), document platforms (Google Docs, Notion, SharePoint), and meeting transcription tools (Fireflies, Google Gemini). From automating lead research and email personalisation to content generation, I deliver fully functional, business-ready AI Agents designed to drive efficiency and growth.

Process

Requirements gathering call

Proposal development and presentation for feedback/approval

AI Agent MVP development

End-to-end testing

One iteration based on feedback from testing

Final documentation and training

FAQs

What is a single use case that fits within an MVP scope?
A business process/workflow that can be automated with AI within 1-2 weeks and can be delivered as a stand alone application. Examples would be a meeting transcript to quote/proposal generator, a sales outreach and personalised emails/LinkedIn messages agent, or a blog/social media post generator.
What low-code platforms do you work with?
n8n, Make.com, Zapier, Pipedream, Langflow, Crew.ai, Relevance.ai, etc.
What AI models do you use for an MVP?
I use the top performing models provided via APIs from the main foundational model companies, including OpenAI, Google Gemini, Anthropic's Claude, etc. This is because you get great performance with minimal integration challenges, for relatively low cost of usage at MVP scale. For an open-source or custom model implementation please see my general AI Agent Development project.

What's included

AI Agent MVP
A fully operational, custom AI Agent MVP designed for a specific use case, tailored to your business needs. The Agent will integrate seamlessly into your existing systems and leverage your internal data and documents to provide highly relevant, context-aware responses. Built using a low-code platform to ensure rapid deployment and minimal ongoing maintenance (n8n, Langflow, Make.com, etc.).
End-to-end testing
Comprehensive testing with internal and external users to verify the AI Agent’s accuracy, consistency, and performance. This process ensures the solution meets your specific business requirements and is reliable in real-world scenarios.
Documentation
Clear, structured documentation covering the AI Agent’s functionality, system integrations, user interactions, and best practices for maximising value. Delivered in your preferred format (e.g., Notion, Google Docs, Confluence) for easy access and reference.
Training
Hands-on training for your team to ensure smooth adoption and optimal use of the AI Agent. This includes guidance on interacting with the system, troubleshooting, and leveraging its capabilities to drive business value.

Example projects