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 pointImprove 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.
Product directionDiscuss quality and costCompare before changing models
Support-answer checks, version 1 · 40 sample cases
Criterion: source support and answer completeness.
Model A
90%36/40 passing review- Est. cost / task
- $0.06
- Median time
- 4.8 s
Model B
92.5%37/40 passing review- Est. cost / task
- $0.04
- Median time
- 3.6 s
Model C
85%34/40 passing review- Est. cost / task
- $0.03
- Median time
- 3.0 s
The lowest-cost option doesn’t meet this example’s quality target.
Illustrative results and prices—not provider pricing or a product benchmark.
- Task-level quality
- Model cost per task
- Response time
- Reviewer findings
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.
Product directionDiscuss human oversightReview before sending
Waiting for approvalThe draft includes a policy statement without a supporting source.
Applied rule: Review required when the policy statement lacks a source.“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.
- Approval reason
- Pending work
- Reviewer decision
- Action outcome
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.
Product directionDiscuss cross-framework operationsMake the coverage visible.
Who owns the agent?
What can we observe?
Where can we intervene?
Conceptual product direction. Supported scope varies by integration.
- Agents in scope
- Operating ownership
- Evidence coverage
- Unresolved failures
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.
Product directionDiscuss a technology changeCarry the work forward.
Does it meet our criteria?
What needs to change?
Does it work in context?
Conceptual product direction. Supported scope varies by integration.
- Quality differences
- Cost and latency
- Migration effort
- Controls and state
Which part of agent operations is hardest today?
Bring one agent, one workflow, or one operating problem to the conversation.