Your program is spread across dozens of chats
Preclinical work moves fast, and it rarely stays in one place. You validate a target in one conversation, pull safety signals in another, and build a dashboard comparing expression across tissues in a third. Then a colleague asks for the rationale behind last month's go/no-go and you spend twenty minutes scrolling thread history, trying to remember which chat had the citation you actually trusted.
This is the hidden cost of AI-assisted research when outputs live only in conversation logs: lost context, re-derived work, and programs that are hard to hand off. Every new question starts from scratch. Every team transition means reconstructing decisions someone else already made. Science doesn't slow down because AI is wrong, it slows down because work has no home base to live in.
EMET's answer is Projects: named workspaces where you collect the conversations, answers, citations, dashboards, reports, and files that belong to one target or program kept together, findable later, without digging through old chats.
Save the work as it happens
Projects fit into how scientists already work in EMET. You don't reorganize your workflow on day one, you save as you go. Start by creating a project from the Projects page. Give it a name and short description, for example, something like "EGFR target evaluation" with a note on what you're trying to decide. Now that project becomes the home for everything tied to that line of inquiry.
Then, as you work, save what matters. EMET surfaces an answer with supporting evidence, you bookmark the answer and the key citations to your project. You generate an interactive dashboard comparing tissue expression, you can save that, too. A long conversation captures the full target rationale? You can save the whole thread from the conversation menu. When you produce a report, it lands in the project alongside the rest. Upload a supporting file, a spreadsheet, a deck, or internal notes, and it stays with the program, not buried in your downloads folder.
Saving is lightweight: one click opens a picker where you choose one or more projects, or create a new one on the spot. Already saved something? The bookmark fills in so you always know what's captured. Save the same item twice, and nothing duplicates. The link is idempotent.
When you return to the project, everything is grouped by type: conversations, answers, citations, dashboards, reports, and files. Click an answer or citation, and the evidence panel opens beside the list. You are able to preview the source without leaving the project. Open a dashboard or report, and it renders in the same side panel you use during chat. Need the full thread? Jump back into the conversation where you left off. Need a file? Download it directly.
One workspace. One target. No archaeology.
Stop digging through old c,hats
The difference is practical, not theoretical. Before Projects, finding "that one answer" meant scrolling through weeks of threads or re-asking the same question and hoping EMET surfaced the same evidence. Citations you trusted lived somewhere in a turn you couldn't quite locate. Dashboards you built were one entry in a library with no connection to the program they supported.
With Projects, the curated set is the program record. Saved artifacts stay linked to their source, you're not looking at a screenshot or a copy-paste; you're opening the live answer, dashboard, or conversation. When a teammate joins the effort, you don't walk them through five separate chats. You open the project and show them what's already been saved: the rationale, the evidence, the visualizations, the reports. That's the before and after: from chat archaeology to a workspace you can actually navigate.
Traceable decisions, time back for science
Targets and programs need more than good answers at the moment. They need continuity, decisions you can trace back to specific evidence, work you can resume after a week away, and context a successor can pick up without starting over.
Projects give preclinical teams that structure without adding overhead. Threads remain where the thinking happens; the project is where you curate what survived the thinking, what's worth keeping, sharing, and building on. You spend less time reconstructing and more time on the science: designing the next experiment, pressure-testing the target, moving the program forward.
For drug discovery teams running multiple parallel efforts, that adds up. Every hour not spent re-finding an old answer is an hour back for the work that actually advances the program.
Create a project for your next target
If you're working on a target or program in EMET, start there. Create a Project, name it for the program you're running, and save as you go, not at the end when memory has already faded.
Conversations, answers, dashboards, reports: keep them together in one place, and stop digging through old chats to find the one thing you already had. Try it out today in EMET.
