Engineering & Insights
Deep technical writing on AI automation, agentic AI, workflow design, and how we build Wexel.
How Wexel Coordinates many Concurrent AI Experiences
Deep-dive into our AI coordination layer that eliminates manual intervention while maintaining coherent task distribution across the automation framework.
[REDACTED] Turing
11 min read · May 28, 2026
Wexel Platform v2.0 — Self-Healing Agents and Live Audit Trails
Today we're releasing Wexel Platform 2.0 with native support for failure recovery policies, real-time observability hooks, and a new declarative automation workflow.
[REDACTED] Hopper
7 min read · May 14, 2026
Beyond RAG: Why Wexel Agents Use Episodic Memory Instead of Retrieval
Retrieval-augmented generation has fundamental latency limitations for long-running agents. We explain the episodic memory architecture that powers Wexel's context persistence.
[REDACTED] Turing
14 min read · Apr 30, 2026
Building Zero-Downtime AI Agent Upgrades
How we achieved hot-reload capabilities for running AI automation tasks so you can ship new logic without disrupting active queues.
[REDACTED] Turing
9 min read · Apr 15, 2026
Why We Chose AI Automation as Our Core Architecture
A letter from our CEO on the deliberate choices we made early on and why we believe autonomous AI automation is the future.
[REDACTED] Raza
6 min read · Mar 20, 2026