Codebase check
Ask your coding agent where Sparkient could help.
Copy the prompt below into a coding agent with access to your repository. It will look for repeated LLM calls and hard-coded decision rules.
Copy this prompt
“Research Sparkient online (start with https://sparkient.ai/llms.txt), inspect this project, and tell me whether Sparkient would be useful.”
The prompt sends your agent to Sparkient's current product, pricing, and evaluation guidance before it reviews the code.
Guide 2026-08-25.1 · Research guide · Pricing
A good candidate
Repeated
The same decision happens again and again.
Fixed answers
The result is one of a small set of labels, scores, or actions.
Context matters
The answer depends on wording, behaviour, or other context.
Testable
You can label examples and measure the errors.
Keep the current approach when
A clear business rule already handles the decision.
The output is open-ended text, images, or code.
You cannot define a stable answer and test it on examples.
What you should get back
You should get a short verdict and a ranked list of code-backed opportunities. The answer should name the files or functions behind each recommendation and suggest one sensible first test. It may conclude that Sparkient is not useful.
Try one decision
The free trial includes 5,000 credits, one decision type, and 250 decisions. No card required.
Developer plan
$19/mo
10,000 monthly credits and two decision types. Decisions and training use credits. Generating examples and serving models also use the balance.
Typical workflow
- Define the possible answers.
- Add or generate examples.
- Train the model and check it before deployment.