The “Magic” Behind Potion Biosciences
Our novel framework (WANDS.AI) for scaling de-aging research and development using bio-syntax machine learning and large language model (LLM) agents.
Acceleration powered by SPELLS (Scientific Prompt-Enabled Language Learning Syntax) and coordinated through WANDS (Workflow-Agentic Novel Discovery Scientists).
By deploying clusters of PhD-level+ autonomous agents—each capable of hypothesis generation, literature synthesis, deep research, experiment design, and data interpretation—we’re opening the gateway to exponential acceleration in de-aging R&D. With hundreds and soon to be hundreds of thousands of parallel research agents, the rate of scientific discovery is limited only by compute.
We use SPELLS,
to power WANDS,
to craft POTIONS.
SPELLS (Scientific Prompt-Enabled Language Learning Syntax) are the structured, domain-optimized prompts and scaffolding that imbue AI agents with scientific domain-level reasoning capabilities. This domain syntax recursive learning algorithm model guides the agent's—translating high-level goals into actionable tasks rooted in discovery science deep research.
WANDS (Workflow-Agentic Novel Discovery Scientists) are the paradigm-shift and catalyst for rapid discovery. Domain expert clusters handle multi-agent coordination, track hypotheses, refine workflows, and automate evaluation—turning what was once manual, siloed research, into collaborative novel discovery at unimaginable hyper speed and scale.