Guide to building your first LLM-powered app
  • Building an LLM-powered Application
    • Who this guide is for
  • Before you build
    • As a Business User
    • As a Product Manager
    • As a Designer
  • Implementing LLMs
    • Model Selection
    • Prompt Engineering
    • Model Failures
  • Important Next Steps
    • On LLM Usage Analytics
    • On LLM Fraud, Waste & Abuse
    • On Pricing LLM-powered features
    • Beyond V1
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  1. Important Next Steps

Beyond V1

This guide was a compilation of our learnings putting out V1 of LogicLoop's AI SQL Copilot and Ask AI Features, and we expect this to evolve quickly in the next few weeks and months.

Some areas that are most likely to see updates are around:

  • Model Selection: as LLM providers have model updates and new providers come out, we'll add more to our decision-making framework.

  • Model Testing & Security: as customers starting using AI features, we'll have a stronger story around security of these models as an industry.

  • Feature Pricing: as customers start realizing the full benefits of AI features, vendors will be able to charge for them more consistently.

Stay tuned!

PreviousOn Pricing LLM-powered features

Last updated 1 year ago