Browse executable AI solution packages
Search by use case, stack, or implementation problem. Each product is built around source code, local run steps, and verification evidence.
DORA ICT Incident Reporting Register
Spring Boot service that captures, classifies, and reports major ICT incidents to the regulator with an immutable audit trail, aligned to the EU DORA reporting timelines. Runnable Spring Boot implementation with evidence pack.
Document Intake in Spring Boot: Multimodal Extraction, Validation, and Review Queues
This solution implements a production-ready Intelligent Document Intake pipeline for Spring Boot applications. It is designed for teams that receive PDFs, scanned forms, images, or semi-structured documents from customers, partners, or internal users and need to convert those files into validated business data rather than just searchable text.
A semantic cache changes the serving contract. Instead of sending every request to the model, the application first asks whether a prior answer is similar enough, fresh enough, and safe enough to reuse.
Self-Healing Agents in Spring Boot: Failure Detection, Recovery Policies, and Durable Execution
This solution implements a production-ready Self-Healing Agent runtime for Spring Boot applications. It is designed for teams building tool-calling or workflow-driven AI agents that must continue operating even when individual steps fail due to malformed tool arguments, transient API outages, inconsistent intermediate state, or partial execution across multiple dependencies.
This solution implements a production-ready Trusted RAG pipeline for Spring Boot applications. It is designed for teams that already have a basic retrieval-augmented generation flow, but need stronger guarantees around factual grounding, answer verification, and user-visible citations before exposing the system to internal users or customers.
A runnable prompt management service that versions prompt templates in PostgreSQL, routes live traffic between control and candidate variants using weighted canary splits, evaluates outputs with deterministic and LLM-as-judge scorers, and auto-promotes or auto-rolls-back based on statistical significance.
A runnable MCP server and client pair built with Spring AI 1.1.x that exposes domain tools via @McpTool, connects over Streamable HTTP transport, and supports dynamic tool registration without service restart.
A runnable workflow engine for LLM tool-calling with durable run state, retries, idempotency keys, and human-in-the-loop checkpoints.
A runnable evaluation harness that tests prompts/RAG outputs against golden datasets, computes metrics, and generates CI-friendly reports and evidence packs.
A runnable ingestion pipeline that extracts text, deduplicates, redacts PII, generates embeddings, and produces evidence artifacts for compliance and quality.
A runnable recommendation service combining vector similarity with deterministic business rules and explainable ranking.
A runnable event-driven pipeline that enriches Kafka messages using LLM calls with idempotent processing, DLQ handling, and end-to-end tracing.