Streaming first
Users receive meaningful partial output quickly, reducing waiting friction and improving trust.
Research
Research-powered architecture for teams that need dependable output.
Pensador is built for production use where speed, verification, and practical decisions matter more than vague AI promises.
Architecture overview
From prompt to response, every step is explicit and repeatable.
- 1
User prompt enters a focused workspace with context and intent.
- 2
Next.js frontend streams response updates in real time.
- 3
Model layer orchestrates reasoning based on selected tier capabilities.
- 4
Tool connectors retrieve evidence or structured outputs when needed.
- 5
Final response returns with a clear narrative and actionable next step.
Capability blocks
Three product behaviors matter most for technical evaluation.
Tool-aware reasoning
Prompts can trigger external tool use for search, data retrieval, and focused calculations.
Deep analysis mode
Complex tasks can run multi-step reasoning workflows where the assistant checks assumptions before finalizing.
Model depth by tier, in practical terms
Each tier is defined by practical output quality and workload fit.
Free
Quick ideation and light daily usage.
Draft a summary, clarify scope, and produce a practical checklist for a simple project.
Pro
Frequent users handling multi-step planning and comparisons.
Evaluate tradeoffs between options, produce a recommendation matrix, and refine by constraints.
Max
Research-heavy users with high depth and consistency needs.
Run a deep brief with validation passes, challenge assumptions, and generate an executive recommendation.
Validate the architecture by running your own use case.
Start on Free, then compare Pro and Max depth as task complexity and business risk increase.