01
The Agent Layer
Conversation and task design, LLM selection and prompting, tool calling, and retrieval-augmented generation grounded in your own knowledge.
Agents, Orchestration, and the Layer That Keeps Them Honest
AI Systems & Agents
Techon Pixel designs and engineers complete AI systems: voice and chat agents, agentic workflows, copilots, LLM integrations and retrieval-augmented generation, together with the production layer that most AI projects skip, safety rails, human escalation, monitoring and evaluation.
The 3 Layers of a Working AI System
- 02
The Control Layer
Decision paths, safety rails, compliance controls and human escalation, so the system stays inside the boundaries you set for it.
- 03
The Operations Layer
Dashboards, monitoring, evaluation and reporting.
How we deliver
- 01/06System Discovery
- 02/06Architecture & Model Selection
- 01/06System Discovery
- 02/06Architecture & Model Selection
01Phase 1
Frame it.
We learn the goal, the users and the constraints first, so scope and priorities are clear before anything is built.
- 03/06Build & Integration
- 04/06Safety & Escalation
02Phase 2
Make it real.
Design and engineering move in short, visible cycles. You see working pieces early and steer them.
- 05/06Pilot & Evaluation
- 06/06Operate & Improve
03Phase 3
Prove it, then grow it.
Each piece is tested against real use before it goes wider, then refined from what we learn.
Related project
American Way Health
Published customer result$430M+
Published customer result: $430M+ additional annual revenue across a voice operation handling 400K+ outbound calls per month.
Founder contribution delivered at BlandLabs, built around Bland AI's voice platform.
Read the case studyVerified technology
- Node.js
- TypeScript
- REST APIs
- Webhooks
- Bland AI APIs
- Convoso APIs
- AWS EC2
- Docker
$430M+
Additional annual revenue
Published by Bland AI
400K+
Outbound calls per month
Published by Bland AI
Frequently asked questions
What does Techon Pixel mean by an AI system?
Voice and chat agents, agentic workflows, copilots, LLM integrations and retrieval-augmented generation, delivered together with the production layer most AI projects skip: safety rails, human escalation, monitoring and evaluation.
How do you keep an agent inside the boundaries we set?
The control layer carries the decision paths, safety rails and compliance controls. Guardrails, consent and disclosure handling and human hand-off paths are configured and tested before real users ever reach the system.
What production experience sits behind this service?
Our founder engineered the orchestration, compliance and observability layer behind a published voice-AI operation handling 400K+ calls a month at BlandLabs, built around Bland AI's voice platform.
Your product remains yours
Clear confidentiality and IP terms. Your confidential information is never reused for another client's work.
Have an idea? Let's build it.
Book a free 30-minute consultation, or write to us, you will always talk directly to the person who builds your product.
Techon Pixel · info@techonpixel.com