About Knackline
We are an AI engineering practice. Since 2019 we have built hard systems. Today that work centers on agents, production RAG, enterprise AI platforms, generative BI, and observability for teams who inherit reliability after the demo.
How we operate
Three operating rules engineering and platform teams who inherit the system can hold us to.
Diagnose before you decorate
A polished chat UI on broken retrieval is still broken. We spend time on failure modes, evals, and tool boundaries first.
Leave the system operable
Agents without traces are unfinished. Observability, review gates, runbooks, and clear L1 through L3 ownership are part of the delivery.
Publish what we repeat
If we solve the same pain twice, it becomes a package or harness pattern. Open source is how we keep ourselves honest.
How we got here
- 2019
Knackline founded as a hands-on engineering practice for teams that ship and inherit systems.
- 2021
Strengthened technical leadership and delivery standards around operable handoff.
- 2022
Open-source journey began: packages and tools meant to outlive any single client project.
- 2023
Delivered tailored systems for startups across multiple markets, still with clear ownership after delivery.
- 2024
Deepened AI delivery for engineering and platform teams: agents, RAG pipelines, and intelligence layers that hold up outside the demo.
- 2025
Continued focus on enterprise AI platforms, multi-agent harnesses, and production systems operators can run at 2am.
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