Bi-Weekly Engineering Dispatch

The AI Systems Dispatch.

Written by Muhammad Hamza. Practical, unfiltered notes on building autonomous voice agents, defending LLM unit economics, and executing the 100 Products in 1 Year challenge.

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Published Dispatches & Technical Notes

Recent Issues

Architecture & Margins
Aug 2026•6 min read

How We Cut AI Token Costs by 70% in High-Volume Conversational Commerce

When building a WhatsApp ordering engine for restaurant chains, feeding the entire menu into the LLM on every turn created $0.10+ message costs and 4-second delays. Here is how we implemented Upstash Redis session caches and pgvector semantic filtering to slash latency and costs.

Read full essay→Issue #4
Voice AI & Speed-to-Lead
Aug 2026•5 min read

What Happens When You Call Inbound Leads in Under 60 Seconds

A deep dive into lead response economics. We replaced a 4-hour manual sales callback process with an autonomous Retell AI and GoHighLevel voice pipeline for a US real estate team. Here are the conversion numbers and qualification rates.

Read full essay→Issue #3
Systems Reliability
Jul 2026•7 min read

Why Zapier Workflows Keep Crashing at Scale (and How to Fix Them)

Most automation agencies build fragile single-step Zaps that break whenever a client enters an unformatted phone number or duplicate invoice. Here is how to architect idempotent webhook handlers, state machines, and dead-letter retry queues.

Read full essay→Issue #2
Building in Public
Jul 2026•4 min read

The 100 Products in 1 Year Challenge: The GSD Framework in Action

Why I committed to shipping 100 products, tools, and client utilities in 12 months using the GSD (Get Shit Done) framework from Pakistan. The psychological shift from perfectionism to rapid shipping and real feedback.

Read full essay→Issue #1