agents.design.bio — guide
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Where to Start?

You can be new to designing with Bacterial Cellulose (BC) or an expert! In either case, the agents will help you in different ways to evaluate your ideas, run experiments to improve designs, or simply test your financial assumptions.

Each goal below maps to a set of scenarios you can explore with the agents. These are meant to give you some structure. Click any question to open it directly in the chat and continue chatting!


Goal 1

Evaluate and improve your BC material

Understand what your material can and cannot do, then find targeted ways to improve it.

@designer Analyzes images and physical properties of your BC samples to identify structural issues and improvement opportunities.
@farmer Pulls production records to correlate batch conditions with material quality outcomes.
@cfo Frames material performance in terms of quality grading and whether improvements justify added input costs.

Goal 2

Optimize your cultivation process

Find the conditions that consistently produce more material, faster, with less waste.

@designer Interprets visual cues from cultivation images — pellicle uniformity, surface contamination, thickness distribution — to flag process problems.
@farmer Mines your production logs to surface patterns in yield, contamination rate, and growth cycle length.
@cfo Calculates the cost impact of process changes so you can prioritize optimizations by economic return.

Goal 3

Prepare for scale-up

Stress-test your process before committing to larger vessels, more equipment, or a new facility.

@designer Evaluates whether your current material properties are consistent and reproducible enough to survive a scale-up transition.
@farmer Identifies which production variables are most volatile in your current logs, so you can stabilize them before scaling.
@cfo Models how unit economics shift at larger volumes and flags the break-even point for capital investment.

Goal 4

Build a business case

Translate your material, process, and production data into a financial story that supports investment or commercialization decisions.

@designer Provides material specifications and property comparisons that support claims about your product's performance relative to alternatives.
@farmer Summarizes historical production performance — yields, batch success rate, input efficiency — as evidence of operational reliability.
@cfo Builds the full techno-economic model: COGS, margin projections, NPV, and payback period under different market scenarios.