Built 17 production AI agents this year. Exactly zero worked on messy data foundations.

Average first call → signed contract Q4 2025: 9 days. We diagnose, not sell.

We do fixed-price because we’re confident, not cheap. Huge difference.

https://t.co/0rxPU0GJNW

#GenAI #MLOps #RAG #AIAgents #LLMOps #AIEngineering #DataEngineering

@MattStancl @emil_sjodin @datadilr @unchained_mike @bennstancil @chad_sanderson @snowflake @datadilr

Comment “SLA” or DM me “SLA” — I’ll send our Production GenAI Readiness checklist + real MLOps that survives real users (and real CFOs.

we can take it from “cool prototype” to industrial-grade.

If you already have GenAI/RAG/agents and see: quality drifting latency spikes inference cost surprises no one knows today’s accuracy —

Because demos don’t matter in business. Only three things do: predictable quality speed under load cost control (or GPUs will eat your margin faster than the model creates value.

What we guarantee in 2025: • Hallucinations < 1.8 % (measured on client side) • p99 latency < 350 ms • Drift detection + retrain in 11 minutes • Hard SLAs with financial penalties

Today we don’t sell “a RAG” or “an agent”. We ship SLA-driven GenAI systems that survive real users (and real CFOs).

That pain is exactly what turned us from “building AI into building production AI.

Next 6 months: burning cash on GPUs while rewriting everything from scratch. Most painful lesson of my life.

Customers said nothing for 9 days… then quietly churned.

2022. @JustSoftLab almost killed the company with our “perfect” RAG. Synthetic tests → 98 % accuracy Real customer traffic → 61 % Latency → 4.7 seconds

Never buy GenAI from a team that hasn’t broken production with their own model at least once.

2026 prediction: clean domain ownership = 5× faster AI adoption.

If you can’t draw your entire domain model on one page → you have chaos, not architecture.

Snowflake bill ×3 but business value only ×1.5 in 2025? Welcome to the average club. @Snowflake