Use cases

Start with the agent problem you need to solve.

Focus on the work your team needs to oversee. These scenarios illustrate the problems Agentabl is being designed to address.

Find your starting point
01 / Quality & cost

Improve quality without losing sight of cost.

An agent is becoming more expensive, slower, or less consistent. You need to understand what changed before deciding what to replace.

The approach

Inspect affected runs, review outputs, compare prompt or context changes, and evaluate alternative models against the same criteria.

ObservabilityEvaluationOptimization
Product directionDiscuss quality and cost
Agentabl/Workspace
Sample workspace

Compare before changing models

Support-answer checks, version 1 · 40 sample cases

Review target: at least 90% of cases pass.

Criterion: source support and answer completeness.

Current

Model A

90%36/40 passing review
Est. cost / task
$0.06
Median time
4.8 s
Meets target
Candidate

Model B

92.5%37/40 passing review
Est. cost / task
$0.04
Median time
3.6 s
Meets target
Candidate

Model C

85%34/40 passing review
Est. cost / task
$0.03
Median time
3.0 s
Below target

The lowest-cost option doesn’t meet this example’s quality target.

Illustrative results and prices—not provider pricing or a product benchmark.

What to examine
  • Task-level quality
  • Model cost per task
  • Response time
  • Reviewer findings
02 / Human oversight

Keep consequential actions under review.

An agent can update records, send external communications, or take another action that should not always happen independently.

The approach

Define which actions require approval. Show reviewers the exact request and supporting context, and record their decision alongside the resulting execution.

GovernanceHuman interventionAgent operations
Product directionDiscuss human oversight
Agentabl/Workspace
Sample workspace

Review before sending

Waiting for approval
Support Reply AssistantAction · Send a customer-facing answer
Review reason

The draft includes a policy statement without a supporting source.

Applied rule: Review required when the policy statement lacks a source.
Draft excerpt
“Your plan includes priority support outside business hours.”
Available evidence

The retrieved plan document confirms business-hours support but does not establish outside-hours coverage.

Suggested next step: request a revision grounded in the available plan document.

What to examine
  • Approval reason
  • Pending work
  • Reviewer decision
  • Action outcome
03 / Cross-framework operations

Oversee agents across teams and frameworks.

Different teams build agents in different stacks. Owners and operators lack a consistent way to understand activity and exceptions.

The approach

Establish inventory and ownership, connect supported activity sources, and expose the controls each integration actually provides.

ObservabilityGovernanceInteroperability
Product directionDiscuss cross-framework operations
A shared operating picture

Make the coverage visible.

Inventory

Who owns the agent?

Evidence

What can we observe?

Controls

Where can we intervene?

Conceptual product direction. Supported scope varies by integration.

What to examine
  • Agents in scope
  • Operating ownership
  • Evidence coverage
  • Unresolved failures
04 / Technology choice

Assess a model or platform change.

A new model, framework, or hosting requirement creates a reason to revisit your current setup.

The approach

Identify compatibility requirements, compare alternatives, plan adaptations, and validate representative tasks before the change.

PortabilityEvaluationOptimization
Product directionDiscuss a technology change
A deliberate change

Carry the work forward.

Compare

Does it meet our criteria?

Adapt

What needs to change?

Validate

Does it work in context?

Conceptual product direction. Supported scope varies by integration.

What to examine
  • Quality differences
  • Cost and latency
  • Migration effort
  • Controls and state
A clearer view starts here

Which part of agent operations is hardest today?

Bring one agent, one workflow, or one operating problem to the conversation.

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