Agentic Engineering

Build better software with AI.

From agent strategy and AI-native engineering practices to dependable applications and open-source platforms, we help teams put AI to work.

The shift

Not Your Average Agent

Most "AI agents" are glorified chatbots. The next generation, based on coding agent breakthroughs, actually gets work done.

Old Generation

Answer questions
Need perfect prompts
Work in one tool at a time
Require constant supervision
Guess at context
Break on edge cases

New Generation (Agentic AI)

Execute multi-step workflows
Figure out what needs doing
Orchestrate across systems
Work autonomously with checkpoints
Understand your full environment
Handle complexity intelligently

The Breakthrough

In 2024, coding agents like Claude Code and Cursor revolutionized software development by learning to navigate complex environments, break down tasks, and execute autonomously. That same architectural breakthrough now powers business agents like Claude & Microsoft Cowork or OpenClaw, bringing true agentic capabilities to your operations.

80%

improvement on individual coding tasks

(Anthropic research)
2.5 hrs

saved per week on routine work

(HUB International)
78%

report productivity gains across development tasks

(Stack Overflow Developer Survey)
Under the hood

The Agent Harness
Calling models in a loop

An agent is not a single model call. It calls models in a loop, and its behavior emerges as that loop works toward a goal.

The agent harness

The harness is the machinery around the model. It receives instructions, assembles context, calls LLMs, runs tools, validates results, and decides whether to continue. It also enforces the sandboxes, network and data boundaries, and observability required for reliable operation.

A growing ecosystem of SDKs, including Pi, Codex, the Claude SDK, AWS Strands, and PydanticAI, makes it possible to build custom agent harnesses.

We are vendor-agnostic and help organizations choose the right SDK and architecture for their strategy, requirements, and operating environment.

The Agent LoopRunning
AGENT.RUNTIMELOOP / 01
About Tavon

Built by practitioners.

Tavon is led by Matthias and Ivan. We combine technical depth, enterprise experience, and a practical approach to deploying agent systems where they create operational value.

  • 01Technical depth
  • 02Enterprise experience
  • 03What works in production
Matthias Lübken

Matthias Lübken

Founder

Ivan Pedrazas

Ivan Pedrazas

AI Engineer

Thinking

We Speak Agentic AI

From agent harnesses to enterprise workflows, we track the patterns, platforms, and implementation questions that matter.

  • Agent harnesses
  • MCP and tool integration
  • Enterprise workflow automation
  • Implementation patterns
Next step

Put AI to work in your software delivery.

Whether you are adopting coding agents or need help making an AI-built application dependable, we work hands-on with your team.

Tavon.ai — Agentic Engineering