This is actually the path to having useful AI agents in GxP environments as well

Day 4 of “An agent a day keeps Phase 2 failures away” — the little things Sometimes it’s the little things that add up and cause delays. Like not knowing if a reagent is in stock or whether your sequencing core has finished with your samples. The last thing you want is to have to run around figuring something out in the middle of your experiment. So why not spend a few minutes up front planning to avoid hours of disruption later. That’s what our Daily Experiment Planner agent can help with. Sample prompt (feel free to tweak): Create an Experiment Planner Agent which runs every weekday morning. It should look at what I did yesterday and my calendar today to determine what my schedule for today should be. Please prepare any notebook entries that I need to do my work today and call out any things I should be aware of (reagents running low, equipment I need to reserve, etc).

Day 3 of “An agent a day keeps Phase 2 failures away” — data quality Controls are only controls if they behave consistently between experiments. But are you really doing the work of comparing this experiment’s controls against all the previous times you ran the experiment? Or are you just eyeballing that they look ok… Set up a Control Chart Agent to build and alert based on your control charts. Catch contamination or a bad batch of reagents before you’ve spent months going down the wrong path. Sample prompt (feel free to tweak): Create a Control Chart Agent which looks at my experiments from the week and creates or updates a control chart from the previous 5 experiments of the same type. Please alert me if anything falls outside of the UCL or LCL and investigate potential causes.

Day 2 of “An agent a day keeps Phase 2 failures away” -- AI for increasing creativity Apparently yesterday was too tame, so let’s spice it up with a Hypothesis Dreamer Agent. When used appropriately, AI can actually be a great source of creativity. No one (including AI) knows your science better than you do. But sometimes you need to integrate ideas from other people, other teams, or the broader literature. And that’s exactly where an agent which is constantly synthesizing your research with broader context and dreaming up new hypotheses can help. Sample prompt (feel free to tweak): Please create a Weekly Hypothesis Generation Agent that looks over my work, my team’s work, and the published literature to suggest new hypotheses. These can include new research directions, ideas on why a particular experiment isn’t working, or ways our work could be improved. Give a prioritized list of 3-5 actionable suggestions. Please present all of the sources you used to come to this conclusion. If it’s helpful, please use visual references to understand the reasoning behind the suggestions.

Day 1 of “An agent a day keeps Phase 2 failures away” We're going to start with something simple: a Weekly Report Agent. Every scientist I know has to do some sort of communication about what they’re working on. Whether it’s presenting at a lab meeting or discovery meeting, status updates for their boss, or preparing something for a partner. So why not automate the time consuming retrieval of data and creation of plots with an agent? Sample prompt (feel free to tweak): Please create a Weekly Report Agent that summarizes all of the work that I've done over the past week in a slide deck. Make sure to check all of my notebook entries, any sequences or biological entities that I've created, and any other places I was mentioned. Add visualizations where appropriate and link back to the source data.

Launching what I’m calling “an agent a day keeps Phase 2 failures away” It’s come to my attention that many people don’t see how AI can be helpful for biotech. So, every day for the next 30 days, I will be posting an agent that can be helpful for biotech and pharma companies. The agents will span all departments and phases of R&D. Hopefully this will inspire some folks to use AI in novel ways

Multi-agent systems for science are finally here! Just launched Science Foundries with agent swarms, natively multiplayer agents, and more fun stuff We wrote up some thoughts on how this will change scientific discovery as well: benchling.com/blog/introduci…