Here are some solutions for blockchain success

They hired prompt engineers, built complex workflows, tested every LLM. But generic models gave generic answers no matter how clever the prompts. Banking clients couldn't get accurate product recommendations. Insurance clients got made-up coverage details.

Solution: Models trained on your actual products don't need clever prompts.

Six months in, compliance finally reviewed where the data was going. API calls to OpenAI? Customer data in Azure? The pilot died instantly. All that work, killed by one security audit.

Solution: Everything runs on your infrastructure, no external dependencies.

The POC was brilliant. Then reality hit: 3-second response times, $30K monthly API bills, and hallucinations under load. What worked for 10 test cases broke at 10,000 real ones.

Solution: Small models built for production - millisecond responses, predictable costs.

The consultants left behind a complex system. RAG pipelines, vector databases, prompt chains - it's technical debt that breaks constantly and no one understands.

Solution: Simple, purpose-built models that just work.