AI5 min read
Why most AI projects fail before they start
The most common reason AI engagements fail has nothing to do with the model. It's the absence of a measurable outcome defined upfront.
LLMsStrategyProject Management
Chidi Okonkwo
Feb 12, 2025
The Sympal blog
Thinking in the open.
Engineering decisions, lessons from the field, and honest post-mortems from four years of building across AI, full-stack, data, and IoT.
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8 posts
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Full-Stack7 min read
Building for 10× the users you have today
Architecture decisions you make at 1,000 users either enable or sabotage you at 100,000. Here's the checklist we run on every project.
ArchitectureScalabilityPostgreSQL
Amara Osei
Jan 28, 2025
AI9 min read
How we cut compliance costs by $2.4M with AI
A deep dive into the LangChain-powered compliance automation platform we built for a financial services firm, from scoping to production.
LangChainCase StudyFinTech
Chidi Okonkwo
Jan 10, 2025
Data6 min read
Why your ML team needs a feature store (and what to build first)
Feature engineering duplication is the silent tax on every ML team. Here's how to eliminate it without building infrastructure for its own sake.
MLOpsFeastFeature Engineering
Fatima Al-Rashid
Dec 18, 2024
IoT8 min read
Six things we learned deploying 1,200 IoT sensors in a factory
Edge computing, MQTT, and the gap between a clean architecture diagram and a production factory floor.
ESP32MQTTEdge Computing
Kwame Asante
Dec 3, 2024
Data7 min read
From spreadsheet chaos to Snowflake in 8 weeks: what actually worked
A practical account of migrating six data silos into a unified warehouse — the decisions, the surprises, and what we'd do differently.
SnowflakedbtData Warehouse
Fatima Al-Rashid
Nov 20, 2024
Full-Stack6 min read
React Server Components in production: nine months of learnings
We've been running RSC in production since early 2024. Here's what the documentation doesn't tell you.
ReactNext.jsPerformance
Amara Osei
Nov 5, 2024
IoT5 min read
Security at the edge: what most IoT architectures get wrong
Most IoT security thinking is borrowed from web security and applied badly. Here's the threat model that actually fits embedded systems.
SecurityESP32TLS
Kwame Asante
Oct 22, 2024