Assess the readiness levels of technologies

Workflow: Evaluation

prism-assess-the-readiness-of-technologies

1. Describe the task

Assessing a new technology topic means researching each candidate and assigning it a maturity score, typically TRL. Done manually, this takes weeks and depends on whatever information is easiest to find, not necessarily the most current.

Hand this to Prism. Name the topic, and it searches the signals pool and the web, creates a technology element for each candidate, and scores every one against your configured readiness scale. Then you compare the results and decide where to place your bets.

Example prompt:

Scout the key technologies in solid-state energy storage. Create a technology element for each, including a short summary, score against our TRL scale, and fill out all other properties.

2. Give context

Required inputs

An element type with your readiness scale configured as a rating: TRL, MRL, or your own, plus any other criteria you want scored.

3. What ITONICS AI creates

Example output:

Topic scouted: solid-state energy storage. Five technology elements created, each scored against TRL and Technology Attractiveness.

Technology	TRL	Technology Attractiveness
Sulfide-Based Solid-State Electrolytes	7	Very High – 5
Polymer Solid-State Electrolytes	7	High – 4
Lithium Metal Anodes for Solid-State Batteries	5	Very High – 5
Oxide-Based Solid-State Electrolytes (LLZO / NASICON)	5	High – 4
Halide Solid-State Electrolytes	4	High – 4

Prism creates the elements you accepted for creation. It fills the summary, the readiness score against your configured scale, and the other properties you have set up on the element type.

You can review and compare the created elements on any view in your workspace.

Follow-up prompts:

Example prompt:

For the top three, summarize the evidence behind each TRL score.

Example prompt:

Re-score these against our MRL scale instead of TRL.

Example prompt:

Draft a one-paragraph rationale for the highest-TRL technology for the steering committee.

Tips

Within the master context or a specific context element type, state what bet-worthy means for you: the readiness threshold, time horizon, strategic fit. It sets the bar Prism scores against.
Within your element type, define your readiness scales so Prism applies the same standard to every technology.
Define topic boundaries in the prompt, such as application, geography, or time window. A tighter scope returns a sharper list.
A named topic can pull in adjacent categories. Review the output for scope before treating it as final.
Scout the same topic from a second angle, such as by application or material. This can provide broader coverage than a single prompt.
Scores are AI judgments against your scale. Shortlist with Prism, then have human experts confirm the rating and agree on concrete next steps.

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