Skip to content

New — Introducing Yaju Software Factory — Try the tool for free

Explore now
Yaju AS
  • ProductProduct
  • SolutionsSolutions
  • ResourcesResources
  • BlogBlog
  • CompanyCompany
Sign in
Book demo

Platform

  • Agent Orchestration System

    Building agents is easy. Operating should be too.

  • Software Factory

    Turn your backlog into review-ready code

  • Agent Hub

    Browse, run, and share agents

Functionalities

  • AI Governance

    Policy enforced at the moment of action

  • AI Observability

    Observe and trust every agent

  • Token Monitoring

    Make every token count

  • Optimizer

    Same outcomes, lower cost

  • AI Spend Explorer

    Find overspend in two minutes

Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions

Featured

Choosing a model is an operations decision, not a benchmark decision

Use Cases

  • Cost Control

    Know what agents cost. Prove what they deliver.

  • AI Transformation

    Turn AI adoption into business transformation

Deployment

  • Credential Vault

    Org-level secrets, resolved at runtime

  • Self-hosted

    Run agents in your own environment

By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing

Featured

Running agents on hardware you own

Discover

  • Customer Stories

  • Partners

  • Yaju Labs

    Yaju Agent Systems research lab

For Learners

  • Versions

  • Agent Academy

Featured

Support triage is the best first agent most teams never build

Content

  • Blog

    The latest from Yaju, launches, and insights

Explorations

  • Future(s) of Work

    How will AI change the way we work?

  • Oran Models

    The generation teams run today

Initiatives

  • Scholars Program

    Finding the next generation of agent builders

  • Open Development Community

    Building agent tooling in the open

  • Catalyst Grants

    Backing ambitious work on agents

Featured

The future of work debate has an evidence problem
  • About

  • Careers

  • Newsroom

Yaju AS
Sign in
Book demo

Platform

  • Agent Orchestration System

    Building agents is easy. Operating should be too.

  • Software Factory

    Turn your backlog into review-ready code

  • Agent Hub

    Browse, run, and share agents


Functionalities

  • AI Governance

    Policy enforced at the moment of action

  • AI Observability

    Observe and trust every agent

  • Token Monitoring

    Make every token count

  • Optimizer

    Same outcomes, lower cost

  • AI Spend Explorer

    Find overspend in two minutes


Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions


Featured

Choosing a model is an operations decision, not a benchmark decision

Use Cases

  • Cost Control

    Know what agents cost. Prove what they deliver.

  • AI Transformation

    Turn AI adoption into business transformation


Deployment

  • Credential Vault

    Org-level secrets, resolved at runtime

  • Self-hosted

    Run agents in your own environment


By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing


Featured

Running agents on hardware you own

Discover

  • Customer Stories

  • Partners

  • Yaju Labs

    Yaju Agent Systems research lab


For Learners

  • Versions

  • Agent Academy


Featured

Support triage is the best first agent most teams never build

Content

  • Blog

    The latest from Yaju, launches, and insights


Explorations

  • Future(s) of Work

    How will AI change the way we work?

  • Oran Models

    The generation teams run today


Initiatives

  • Scholars Program

    Finding the next generation of agent builders

  • Open Development Community

    Building agent tooling in the open

  • Catalyst Grants

    Backing ambitious work on agents


Featured

The future of work debate has an evidence problem
  • About

  • Careers

  • Newsroom

Yaju AS
  • Agent Orchestration System

    Software Factory

    Agent Hub

  • MCP Gateway

    CLI

    Pricing

    Versions

  • AI Governance

    AI Observability

    Token Monitoring

    Optimizer

    AI Spend Explorer

  • Cost Control

    AI Transformation

    Solutions Overview

  • IT & Developers

    Financial Services

    Public Sector

    Engineering

    Telecommunications

    Healthcare and Life Sciences

    Manufacturing

  • Credential Vault

    Self-hosted

    Deployment Options

  • Blog

    Customer Stories

    Partners

    Agent Academy

    Yaju Labs

  • About

    Careers

    Newsroom

  • Legal Center

    Security

    Privacy Policy

    Terms of Use

Platform

  • Agent Orchestration System

  • Software Factory

  • Agent Hub

Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions

Functionalities

  • AI Governance

  • AI Observability

  • Token Monitoring

  • Optimizer

  • AI Spend Explorer

Solutions

  • Cost Control

  • AI Transformation

  • Solutions Overview

By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing

Deployment

  • Credential Vault

  • Self-hosted

  • Deployment Options

Resources

  • Blog

  • Customer Stories

  • Partners

  • Agent Academy

  • Yaju Labs

Company

  • About

  • Careers

  • Newsroom

Legal

  • Legal Center

  • Security

  • Privacy Policy

  • Terms of Use

Platform

  • Agent Orchestration System

  • Software Factory

  • Agent Hub

Product

  • MCP Gateway

  • CLI

  • Pricing

  • Versions

Functionalities

  • AI Governance

  • AI Observability

  • Token Monitoring

  • Optimizer

  • AI Spend Explorer

Solutions

  • Cost Control

  • AI Transformation

  • Solutions Overview

By Industry

  • IT & Developers

  • Financial Services

  • Public Sector

  • Engineering

  • Telecommunications

  • Healthcare and Life Sciences

  • Manufacturing

Deployment

  • Credential Vault

  • Self-hosted

  • Deployment Options

Resources

  • Blog

  • Customer Stories

  • Partners

  • Agent Academy

  • Yaju Labs

Company

  • About

  • Careers

  • Newsroom

Legal

  • Legal Center

  • Security

  • Privacy Policy

  • Terms of Use

LinkedInInstagramEmail

Yaju AS ©2026

  • English

Product

Small agents, scoped tightly, run for years

The agents still running a year after they were built are almost never the ambitious ones. They are narrow, they do one thing, and their boundary was decided before the first line was written.

Yaju Team · 8 July 2026

Look at what is still running in an organisation twelve months after its first agent project, and a pattern shows up. The impressive agent that was going to handle an entire workflow is gone. The small one that reformats a report every Tuesday morning is still there, and nobody has thought about it in months.

That is not a failure of ambition. It is what scope does.

Why broad agents decay

A broad agent has many ways to be wrong, and each of them erodes trust separately. It handles eight situations well and the ninth badly, and because nobody can predict which situation is the ninth, every output gets reviewed carefully.

Once every output is reviewed carefully, the agent has not saved time. It has moved it, from doing to checking, and checking unfamiliar work is not obviously faster than doing familiar work.

The broad agent also resists evaluation. Writing criteria for "handles customer enquiries" is hard enough that it usually does not get written, which means quality is never scored and degradation is never noticed.

Why narrow agents survive

A narrow agent can be described in a sentence, and anything describable in a sentence can be evaluated. You can write down what good output looks like, score every run against it, and halt the agent when a check fails.

It also has a natural owner. "Who owns the report reformatter" has an obvious answer; "who owns the customer enquiry agent" does not, and agents without owners become orphans.

And its cost is legible. Spend attributed to a narrow agent is interpretable: this many runs, this much per run, this outcome. Spend attributed to a broad agent is a number nobody can act on.

How to set a boundary that holds

Describe the agent in one sentence without using "and". If you need the conjunction, you have two agents.

Decide what it is not allowed to do before deciding what it does, and enforce that at the point of action rather than in the prompt. An agent that should never write to production cannot be argued into it if the policy is enforced where the action happens.

Write the evaluation criteria before building. If you cannot state what good output looks like, the scope is still too vague, and building will not clarify it.

Give it a named owner on day one, not when someone asks.

Composition beats breadth

The useful version of ambition is not one agent doing ten things. It is ten agents doing one thing each, composed, each individually evaluable and individually replaceable.

This is also what makes agents shareable. An agent with a clear boundary can be published to the Agent Hub, forked by another team, improved and rolled back. A sprawling one is specific to the context that produced it and useful to nobody else.

The uncomfortable part

Scoping tightly means accepting that the agent will not handle the interesting edge case, and that a person still will. Teams that accept this ship things that last. Teams that keep widening the boundary to capture the last ten percent generally end up with an agent nobody trusts for the first ninety.

Next

The Agent Hub pages cover publishing, forking and versioning agents across teams. The Agent Orchestration System pages cover ownership, policy and evaluation, which are what make a boundary real rather than intended.

Loading...
Small agents, scoped tightly, run for years | Yaju