What we've learned
building production AI.

Priced by milestone, not by the hour, so the number is fixed before you sign. What actually drives the scope, and the one fixed price we publish.

The real question isn't cost — it's how differentiated the capability needs to be. When an agency wins, when in-house wins.

Three causes, all fixable — but only if you're testing retrieval quality directly, not eyeballing a few outputs.

Four things to confirm in writing before you sign — retention, encryption, deployment, and residency.

A feature that costs $0.002 per call looks fine in staging. At 500k calls a day, it's a five-figure monthly surprise. Here's a token budget model that catches it before launch.

Most voice agents are tested against the happy path. Here's why they break on the question nobody scripted for, and how to design for it.

When a model provider deprecates a parameter and every call breaks at once, the real bug was architectural. Here's how to build a provider abstraction layer from day one.

The easy 80% of tickets works fine. Here's the tiered permission model that stops the agent from overstepping on the other 20%.

Keyword matching rejects people, not just resumes. Here's the semantic-matching and human-review layer that fixes it — and the compliance reason it matters.

Good at finding savings, bad at knowing when a purchase needs a human sign-off. Here's the spend-tier routing model that fixes that.

A quick-start guide to instrumenting a FastAPI app with SigNoz, the open-source Datadog/New Relic alternative.

Running FastAPI behind Gunicorn and Uvicorn workers — worker count, load balancing, and graceful shutdown.

How to size Airflow worker count for maximum efficiency — workload, resources, task duration, and monitoring.

A step-by-step guide to Hindi-language OCR with Pytesseract and Tesseract — setup, a working script, and troubleshooting.