Internal assistants
Search internal data, draft answers, update CRM records and prepare summaries.
AI agents / automation / blockchain data
AI agents and automation systems
MVPRO builds AI agents, integrations and data workflows that connect business tools, APIs and blockchain data.
01
AI agents
02
LLM / RAG
03
Data workflows
04
Blockchain / Web3
$ build_agent_stack
AI agents for business tasks
Agents can read data, call APIs, prepare documents, update systems and ask for approval before important actions.
tool-calling
RAG / knowledge base
API integrations
approval steps
monitoring
Sales agents
Qualify leads, prepare offers, answer common questions and notify your team.
Data agents
Collect, clean and analyze data. Send reports or alerts when something changes.
Tech agents
Connect APIs, Telegram bots, payments, e-commerce, wallets and on-chain events.
$ mvpro_services --core
Services
Focused systems from prototype to deployment: architecture, code, integrations and support.
AI agents and LLM apps
Custom assistants, knowledge search, prompt systems and tool integrations.
OpenAI · LLM orchestration · vector search
Data and ML systems
Data collection, preparation, model training, forecasts, dashboards and alerts.
ETL · Python · forecasting · analytics
Blockchain and Web3 automation
On-chain monitoring, wallet and token analytics, smart contract data, bots and API integrations.
on-chain data · wallet analytics · bots
Business automation
CRM, e-commerce, payments, files, calendars and communication workflows.
APIs · webhooks · dashboards · servers
$ delivery_pipeline
From idea to working system
A simple process: understand the task, build a prototype, add controls and deploy.
1
Map the workflow
Define the task, data sources and expected result.
2
Prototype fast
Build a small working version with real data.
3
Connect the systems
Add APIs, authentication, approvals, error handling and logs.
4
Deploy and improve
Launch the system, monitor it and improve based on usage.
$ stack_snapshot --mvpro
Role: AI agents / automation / blockchain systems
Core: LLMs · knowledge search · APIs · data · blockchain
Output: working software
OpenAI API and LLM workflows
RAG, vector search, knowledge bases
Python / Node.js / API integrations
Telegram bots and control panels
Blockchain and on-chain data pipelines
ML signals, forecasts and alerts