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Talon Forge — AI-Assisted Automation & Multi-Agent Workflow System
Designed and built an AI-assisted workflow platform that coordinates task intake, job decomposition, specialist agents, quality assurance, cost tracking, and final delivery. The system is designed for reliable, scalable automation while keeping human approval gates around sensitive actions.
I like how the platform splits jobs into specialist agents and still routes sensitive steps through a human gate, keeping control while the bots handle the heavy lifting
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Connect with clients, get discovered, and run your business 100% commission-free
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Marlowe Mobile Detailing
Solo-owner mobile car detailer, Austin, TX (serving Round Rock, Cedar Park, and Lakeway)
Marlowe Mobile Detailing was losing about 1 in 5 bookings to no-shows and running behind on nearly every job. This build replaces a vague "can you detail my car?" text with a fully scoped, weather-aware booking flow that sets an accurate time and price upfront, captures access instructions before he arrives, and automates rain-day rescheduling so he never has to chase a customer again.
He works alone and travels to the customer. Rain cancels outdoor jobs. Customers under-describe how dirty their cars are, so jobs run long. About 20% of bookings were no-shows because people forgot he was coming to them.
The AI handles all routing automatically.
Thus, manual appointment creation is an edge case, something that happens when a specific customer request or exception requires human intervention.
When that happens, the system surfaces available technicians ranked by fit and shows how much distance and time the appointment adds to their route for that day. The manager picks from a ranked list rather than guessing.
The typography and color choices were made with one thing in mind: the platform needs to feel embedded in whatever system the client is already using rather than standing out as something foreign. We kept everything deliberately neutral.
Light and dark mode both follow the user's system preference automatically.
𝐑𝐀𝐆 𝐀𝐈 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 | 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐒𝐞𝐚𝐫𝐜𝐡, 𝐀𝐈 𝐀𝐧𝐬𝐰𝐞𝐫𝐬 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞
I designed and built a RAG-powered AI knowledge platform that lets businesses search documents, websites, databases, and internal knowledge using natural language.
The system processes content, creates embeddings, stores them in a vector database, retrieves the most relevant information, and uses AI to generate accurate, source-grounded answers.
My services include: RAG development, document ingestion, semantic search, vector database setup, OpenAI/LLM integration, internal knowledge assistants, API integrations, and analytics.
The solution helps teams find information faster, reduce repetitive research, improve answer consistency, and build scalable AI-powered knowledge systems.
𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:
OpenAI, LangChain, RAG, Pinecone, Qdrant, Weaviate, FAISS, Chroma, Python, FastAPI, PostgreSQL, APIs.
