From Prompt to Peptide: Designing AI Workflows That Keep the Scientist in the Loop
FOR THE AI CURIOUS SCIENTIST 👩🔬
We are looking for 15 scientists who are ready to take control of of their AI workflow. Are you ready?
AI is everywhere.
There’s a race going on, and you’re just watching from the sidelines. A new model every week. A new tool every day. Newsletters and threads from people telling you why the thing you haven’t tried yet is already outdated.
It can feel like a lot.
If it feels like you missed the start, there’s good news. This isn’t a race with a finish line, and the people 100 paces ahead aren’t running away from you. Plenty of those 100 paces were spent going the wrong way. Wrong tools, abandoned subscriptions, setups that never felt like they worked right. Starting now means you get to skip some detours. This is a race towards self-improvement, not winner-takes-all.
You’re already an expert in your field, you don’t need to become an expert in a second one.
The teams at Molecule AG and PeptAI have created a webinar specifically tailored for scientists still at the starting line. We handle the setup, so that you can get to the part that matters.
We'll walk through what an AI-augmented research loop actually looks like in practice. Where to start, which tasks are worth delegating, common mistakes and pitfalls, and how to keep you in the driver’s seat.
The PeptAI team will showcase their architecture, used to develop novel peptides, but the setup is modular and can be adapted for other use cases.
After the course, you will join a private group with the instructors and your fellow cohort members to continue to receive feedback, ask questions, share wins and updates, and have access to additional materials and webinars to support you on your journey.
The stack is powered by Molecule Labs, a data provenance layer built for scientific work. An immutable record of what you did, when, and by whom, with automatic payment functions built in.
What you’ll walk away with
✅ Your starter pack
A checklist of tools and subscriptions needed to get started, plus $20 compute credit pre-loaded into your account.
💻 Your tech stack
A working setup you can point at your own research questions the same day. Starting with protein design, but with modularity for other use cases.
👟 A shortcut forward
Inherit the lessons instead of stumbling through common pitfalls on your own, saving time and money.
🌐 An open channel
A private group with your cohort and instructors - a space to share wins and questions.