Engineering · Agents
Agents in production: what breaks
The gap between the demo and the long tail: what breaks when agents meet real traffic, what holds, when multi-agent helps, and the order to ship in.
Service 01 / 06
AI products and agents that hold up in production.
Zero-to-one AI products and the agents inside them, from first prototype to production.
What we build
What we build
- Agentic and multi-agent systems
- RAG and knowledge assistants
- Voice agents
- LLM integration
- Model and cost governance
Process
How it runs
- 01
Sprint
2 weeks
- 02
Design
1–2 weeks to confirm
- 03
Build
6–10 weeks to confirm
- 04
Launch
1 week to confirm
- 05
Grow
Monthly to confirm
Deliverables
What you get
Work
Related work
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Built by our founder as Head of AI Engineering at ideasIQ
myLeadsIQ
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AlphaGPT
A conversational assistant with persistent multi-thread memory and streaming replies.
Insights
Related insight
FAQ
FAQ
Engagements
Which engagement fits
Start with the two-week AI Sprint, then bring us in for the whole build and the growth after it.