Intelligence & Research
Access Auto-routed intelligence or choose specific provider models (Groq, Gemini, NVIDIA, OpenRouter). Deep research sessions break queries down into sources, citations, and syntheses.
Explore Research Mode →Pixel brings multi-model conversations, deep web research, code execution, canvas ideation, and persistent project workspaces together in one focused Obsidian-gold interface.
Here is an optimized pattern implementing memory compaction and strict owner-scoped authorization:
Pixel bridges conversational intelligence with practical tools for execution. Move seamlessly between dialogue, deep research, code, visual canvas, and organized projects.
Access Auto-routed intelligence or choose specific provider models (Groq, Gemini, NVIDIA, OpenRouter). Deep research sessions break queries down into sources, citations, and syntheses.
Explore Research Mode →Shape visual concepts on the interactive Canvas, browse community and AI-generated artwork galleries, or maintain organized Markdown notes directly beside your conversation threads.
Explore Canvas Tools →Transform transient prompts into sustained work. Projects bundle system directives, uploaded text files, and conversation histories. Execute and preview code directly in the integrated runner.
Explore Project Workspaces →Select any capability below to preview how Pixel structures information, runs code, and maintains contextual awareness across tasks.
Chat with Auto routing or select individual models from Groq, Gemini, NVIDIA, and OpenRouter. Responses support MathJax LaTeX rendering, streaming code blocks, and copy-ready formatting.
Deep Research conducts multi-step query exploration, retrieves real-time web sources, extracts relevant passages, and synthesizes evidence into a coherent report with verifiable links.
Create dedicated Projects to store recurring system instructions, reference documentation, text files, and related conversation histories. Every prompt in a project automatically inherits this context.
The built-in code runner supports multiple languages with syntax highlighting, stdout terminal logging, and instant web preview for HTML/CSS/JS components.
Use Pixel Canvas to organize architectural diagrams, brainstorming stickies, and visual research boards alongside your ongoing discussions.
Configure personal API keys for Groq, OpenRouter, or custom OpenAI-compatible endpoints with client-side credential encryption, custom temperature settings, and model allowances.
Detailed, pre-rendered documentation articles covering every aspect of Pixel's interface, security, model management, and workflow integration.
Account setup, user roles, interface navigation, and starting your first AI conversation.
Read guide →How Auto selection works, token allowances, latency tradeoffs, and provider endpoints.
Read guide →Synthesizing multi-source web investigations with source validation and citation tracking.
Read guide →Structuring persistent instructions, reference files, and scoped project histories.
Read guide →Executing code, handling stdout streams, and testing live web components in-browser.
Read guide →Answers to common questions regarding security, billing, model limits, and data retention.
Read guide →Pixel AI was developed as an independent, focused AI workspace designed for precision, speed, and creative autonomy. Explore the development philosophy, project archive, and creator profile.