Why I trust runnable tags instead of node names in a LangGraph SSE stream
A streaming and routing repair for real event metadata that differed from mocks, leaked tool preambles, and let stale turns influence new routes.
Engineering reliable AI features with explicit evaluation, safety, and operational boundaries.
A streaming and routing repair for real event metadata that differed from mocks, leaked tool preambles, and let stale turns influence new routes.
A deterministic terminal formatter and safe-anchor boundary for an LMS ZIP capability link that disappeared before the final response.
Natural-language cancellation clauses become evidence-bound intervals, while a deterministic engine owns boundaries, fees, refunds, and blocking ambiguity.
Explaining rights issues and convertible bonds while exact-matching every number to source text and rejecting investment-language overreach.
A precision-first FAQ pipeline where deterministic code owns PII and evidence checks while an LLM performs bounded semantic merging and drafting.
Separating MCP content blocks, LangGraph checkpoint forks, and stale actions to make the human-in-the-loop flow verifiable beyond the UI.
The model classifies free-text answers into four verdicts; authored anchors and a deterministic engine own teaching content, retries, affection, and endings.