Autonomous AI services
Development of intelligent agents with LangGraph, RAG and Python
Let's talk about your caseAt Sphyrna Solutions we design and build AI agents that go beyond the traditional chatbot. Our stack combines LangGraph to orchestrate complex reasoning flows, RAG (Retrieval-Augmented Generation) to ground answers in your real documentation, and FastAPI as a high-performance service layer. Each agent is built as a state machine: nodes that reason, decide which tool to use and hand over to a human when needed. We do not use generic templates or drag-and-drop platforms. We write real Python, with strict typing, automated tests and Docker container deployment. The result is systems that plug into your existing infrastructure (CRM, ERP, databases, internal APIs) and improve with every interaction thanks to continuous evaluation pipelines. If your problem needs contextual reasoning and not just if/else rules, this is the right approach.
What I offer
Specialised technical services for AI agents that really reason
Conversational AI agents
From €149/monthWe build intelligent agents that hold natural conversations, understand context and take actions. Not chatbots with canned answers.
What is included:
- LangGraph agent for orchestration
- RAG for your business knowledge
- Integration with WhatsApp, web or your own channel
- Metrics dashboard
- Source code included
Typical use cases:
Automation with RAG
From €149/monthKnowledge systems that understand your documents, manuals and data. The agent answers based on YOUR information, not generic data.
What is included:
- Document ingestion (PDF, web, databases)
- Embeddings optimised for your domain
- High-precision semantic search
- Automatic knowledge updates
- API to integrate into your systems
Typical use cases:
Integrations & APIs
From €149/monthWe connect your agents to CRMs, ERPs, ticketing systems and any tool with an API. The agent doesn't just talk, it acts.
What is included:
- Integration with your CRM (HubSpot, Salesforce, etc.)
- Connection to ticketing systems
- Custom APIs for your needs
- Webhooks and real-time events
- Complete technical documentation
Typical use cases:
Full technical stack
Tools and technologies I use on every project
Core Development
AI & LLMs
Databases
Infrastructure
Why LangGraph and not Dialogflow
The difference between a menu-driven chatbot and an agent that reasons
Traditional frameworks (Dialogflow, Rasa, Botpress)
They work with intents and predefined flows. Every possible path has to be coded by hand. When the user goes off script, the bot fails. Scaling to 50 intents is already unmanageable. They suit simple FAQs, but not processes with real business logic.
Our approach (LangGraph + ReAct)
The agent receives the message, reasons about which tool to use, runs the action and evaluates the result. There are no rigid flows: there is a state graph where the LLM decides the next step based on the full context of the conversation. It can query your database via RAG, call external APIs, and hand over to a human when it detects it cannot solve something. All with full observability: logs of every decision, traceable reasoning and response quality metrics.
The practical difference: a Dialogflow chatbot needs you to anticipate every possible question. A LangGraph agent understands the intent, reaches the relevant information and builds a grounded answer. When you add a new product to your catalogue or change a policy, the agent picks it up automatically through the RAG pipeline, with no retraining and no redefining of intents.
What I do NOT offer
To avoid misunderstandings, these services are NOT within my scope:
Mobile app development
I only do backend and agents. For apps, I'll connect you with trusted partners.
UI/UX design
I can integrate with existing interfaces, but I don't design frontends from scratch.
Legacy system maintenance
I work with modern APIs. If your system has no API, you first need to modernise it.
From service to implementation
A 4-phase process from analysis to production
Does your project fit these services?
Let's talk for 30 minutes. I will tell you honestly whether I can help and with which service.
Let's talk about your case30 minutes of technical analysis. No commitment. I will tell you which service you need.