From the Team

Engineering insights, product updates, tutorials, and industry analysis from the Transactional team.

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Engineering

Why Your AI Chatbot Forgets Everything (And How to Fix It)

Architecture of persistent user memory using vector search for LLM applications. Embedding strategies, retrieval patterns, memory decay, and per-user scoping.

Transactional Team
Feb 26, 202611 min read
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Engineering

How Semantic Caching Can Cut Your LLM Costs by 60%

A practical guide to implementing semantic caching with vector embeddings to reduce LLM API costs. Covers architecture, similarity thresholds, cache invalidation, and production considerations.

Transactional Team
Feb 24, 20269 min read
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Engineering

MCP Security: What Developers Need to Know

Security analysis of the Model Context Protocol ecosystem. Authentication gaps, tool poisoning risks, excessive permissions, and a security checklist for developers adopting MCP servers.

Transactional Team
Feb 11, 202612 min read
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Engineering

Prompt Injection Nearly Broke Production AI. These Patterns Can Save You.

Prompt injection incident analysis and proven defense patterns: input sanitization, output validation, system prompt hardening, sandwich defense, and canary tokens.

Transactional Team
Feb 7, 202611 min read
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Engineering

15 Years of Shipping Software Taught Me Email Deliverability is an Infrastructure Problem

Why developers treat email as an afterthought and what goes wrong at scale. IP warming, feedback loops, bounce handling, reputation management, and the architecture of a reliable email pipeline.

Transactional Team
Feb 5, 202610 min read
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Engineering

We Were Flying Blind on LLM Costs Until We Started Tracing Every Token

How we built token-level tracing to gain visibility into LLM costs, latency, and performance across providers. Architecture of the observability pipeline and the cost surprises we caught.

Transactional Team
Jan 30, 202610 min read

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