An AI product, an open-source framework, and a custom agent solve different parts of the problem. Compare them on the task your business needs completed, the checks it needs, and who will keep it working.
Start with the fit
The aim is a useful, supportable workflow. Start by testing the fit of an existing product, then identify which gaps justify implementation or custom development.
Configure an existing product
A product is worth testing when it can handle your task, connect to the relevant systems, and give the team appropriate control.
Build a custom agent
A custom build is worth scoping when the missing workflow is specific, valuable, and difficult to achieve through configuration alone.
Side by side
Use the same workflow, volume, and operating requirements for both options. The right comparison includes setup, integrations, your team’s time, and what happens after launch.
| What to compare | Custom build | Existing product |
|---|---|---|
| Workflow fit | Define the task and build the missing logic. Scope and technical feasibility still set the limits. | Test the task within the product’s features, settings, integrations, and supported extension points. |
| First useful release | Depends on access, integrations, the task, and the agreed evaluation and rollout scope. | A configured trial can reveal fit early when the required features and integrations already exist. |
| Cost to include | Delivery, model and tool usage, hosting, evaluations, monitoring, and maintenance. | Setup, subscription or usage charges, integration work, review time, and any additional support. |
| System access | Design permissions and actions around the workflow and the interfaces your systems expose. | Verify the connector’s actual read and write permissions, available actions, and failure behaviour. |
| Human control | Build approval, escalation, and pausing into the agreed workflow. | Check that the available controls cover the decisions and exceptions your team needs to review. |
| Evidence | Maintain workflow-specific examples and release checks as the system changes. | Run your own cases. Ask what run history, evaluation tools, and change notices the product provides. |
| Ownership | You own the application code we build. Third-party models, frameworks, and services retain their own terms. | Check access to your data, exports, configured workflows, and what happens if you change provider. |
| Ongoing operation | Name who handles releases, failures, dependencies, and model changes. | The vendor operates its product. Your business still owns configuration, access, review, and the affected process. |
A small evaluation can answer more than a long feature list. Keep the same job, examples, and acceptance checks across the options.
Choose a recurring task, name its owner, and capture the current time, volume, and exceptions.
List the information the agent can read, actions it can take, and decisions that need a person’s approval.
Compare options using representative requests, missing information, failed tools, and cases that should escalate.
Measure successful completion, review time, unresolved exceptions, and running cost against the same baseline.
Name the owner of accounts, updates, monitoring, incident response, and the release checks for future changes.
Choose the first rollout from the evidence. Expand when the workflow is useful and the team can support it.
Clear answers on timelines, pricing, ownership, and what shipping actually looks like with a senior engineering team.
No universal price comparison is useful. Model the full cost at your expected volume, including setup, review time, integrations, operation, and future changes. Use actual quotes and measured pilot usage.
Often that is a useful way to test the workflow and discover where it falls short. Define what you want to learn and the exit criteria so the pilot leads to a decision.
Usually our work is the application around existing models: the tools, context, workflow rules, approvals, and evaluations. Model training is a separate question with its own business case.
No. A framework provides building blocks. You still need to configure access, connect the workflow, test failures, and operate the deployment. Compare it as an implementation option.
Completed tasks, incorrect actions, escalations, review time, user adoption, and cost per useful result. Agree what counts as success before the pilot begins.
Bring the workflow, the proposals, or the questions holding things up. We’ll help identify the tradeoffs, the missing information, and a useful next step.
Or email hello@buildfutur.com