01 /
In-product assistant
Helps complete a defined action in a UI or workflow.
AI / product features
AI features
inside your product.
Connect models, tools, and data to a concrete workflow while tracking access, response quality, and request cost.
LLM
MCP
RAG
API
AI inside the productrazrabotchik.com / AI
User workflow01 / PRODUCT
Model + tools02 / AI
Data and access03 / CONTROL
Quality and costMeasurable pilot
Possible solutions
Models · MCP · RAG
Key control
Access and quality
Cost
Usage tracking
From use case to solution
Add AI to deliver a useful feature.
Start with a user or team action: find an answer in data, perform an operation through an API, or speed up information handling. Then choose the technology.
MCP can expose tools to an assistant. RAG may help retrieve information from your content. Neither is automatic.
02 /
API tools through MCP
Lets an assistant call allowed operations with access controls.
03 /
Search private content
Retrieves relevant material and shows where an answer came from when the use case requires it.
Approach
A pilot with clear quality criteria.
01 /
Define the use case
Who uses the feature and for what task.
02 /
Set criteria
Quality, permissions, latency, and acceptable cost.
03 /
Integrate
Model, tools, and data within the existing product.
04 /
Measure
Evaluate answers, spend, and failures on real scenarios.
Choosing the solution
Models, data, and tools chosen for the use case.
Answering questions from internal content may require retrieval with source checks. Actions in the product may call for managed API tools. Either way, permissions, quality criteria, and cost limits are defined first.
MCP servers and RAG are considered only where they serve the use case.
Applied AI integration
Model + tools + control
The use case leads the technology choice
Questions
Does every AI feature need MCP?
No. MCP helps when an assistant needs tools and managed access to operations. A simple model call may not need it.
When is RAG useful?
When answers must draw on a substantial, changing body of material and simpler context or search is insufficient. Validate that against the use case.
How do we control cost?
Set limits and criteria up front, then measure requests, model choice, failures, and output quality.
Next step
Describe your challenge.
Describe the system, goal, and constraints. You will receive a proposed next step, delivery format, and plan for technical oversight.