The first graph native AI interface. Branch conversations, run parallel models, and merge insights all in a visual workspace built for complex thinking.
Fork one idea into multiple directions without losing the parent thread.
Run several models side by side and see how each one approaches the same prompt.
Pull the best parts back together into a single conclusion with clear lineage.
Traditional chat is linear. Your thinking isn't. Lattice Lab gives you the tools to explore, compare, and synthesize ideas spatially.
Drag, drop, and connect nodes freely. Visualize conversation flow like a mind map. Zoom in for details, zoom out for the big picture. Your ideas, spatially organized.
Query up to 4 models simultaneously. Compare Claude vs GPT vs Gemini vs DeepSeek, all in real time streams.
Fork conversations into parallel paths. Explore different angles without losing the original thread. True multiverse thinking.
Synthesize insights from multiple conversation branches into unified summaries. The system preserves complete lineage. Every thought traceable to its origin.
Context preservation rate
From prompt to synthesis, Lattice Lab turns complex reasoning into a workflow you can see, compare, and refine.
Drop in a prompt, doc, or research goal and anchor the session around a single source node.
Spin out focused paths for different models, angles, or assumptions and compare them live.
Pull the strongest insights back together with traceability, so the output stays useful and auditable.
Explore multiple hypotheses simultaneously. Compare model outputs across different frameworks. Maintain full context while branching into specialized sub-questions.
Debug with parallel AI assistance. Compare implementation approaches side-by-side. Build complex prompts with branching logic and merge successful patterns.
Develop multiple narrative threads. Test different angles on the same topic. Synthesize insights from various perspectives into cohesive final drafts.
Connect your API keys and access the world's leading AI models. Switch between providers or run them in parallel. Your choice.
Connect your models, explore multiple directions, and converge on a better answer without losing context.