01
Task & information design
Define the job, approved sources, output format and actions the assistant must not take.
04 / Custom agents
An assistant shaped around your work.
We can scope an AI-assisted workflow for a specific task, with approved information, useful outputs and human checkpoints.
A good fit for
Begin with the work that needs to change.
For teams with a repeatable knowledge task that benefits from drafts, analysis or recommendations before a person acts.
- Useful knowledge is difficult to apply consistently across a repeated task.
- A team spends time preparing the same first draft or summary.
- The output still needs a reliable person to review and decide what happens next.
What we can build
A scope built around your team.
02
Scoped assistant
Build the agreed interface or workflow for preparing useful drafts, summaries or suggestions.
03
Evaluation & handover
Test realistic examples, document limits and provide a clear human review process.
Possible directions
Start with one useful task.
These are illustrative examples of client-specific briefs, not ready-made agents or working demonstrations.
WhatsApp agent
A client-specific assistant that prepares context-aware replies for review within an eligible WhatsApp workflow.
Social agent
An assistant that proposes content ideas, caption drafts or creative briefs against your brand direction.
Developer agent
An assistant for documentation, test ideas or code suggestions that a developer reviews before use.
Illustrative workflow · not completed work
How it could work.
The final flow depends on your systems, permissions and agreed scope.
01
Define
Choose one useful task and the result your team wants to review.
02
Ground
Provide only agreed information and access for that task.
03
Prepare
The assistant creates a draft, summary or recommendation.
04
Decide
A person checks the output and authorizes any next action.
Clear boundaries make the work useful.
Human review
The agent does not have unlimited access or authority. People review outputs and approve sending, publishing, code changes and spending.
Feasibility & costs
We assess the task, data access, model usage, integrations, reliability and ongoing cost before agreeing a client-specific build.
Before we build
Good questions first.
Are these Krelyvo’s own agents?
No. This page describes bespoke development around your business. Our separate AI Agents page shows planned internal Krelyvo systems.
Can an agent act without approval?
We define allowed actions case by case. Sending, publishing, code changes and spending are never implied by an example on this page.
Where do we start?
Begin with a defined task and examples of a useful result. Workflow Discovery can establish feasibility before development.
Explore another starting point.
Project packages and the development process are on the AI Agents & Automation overview.
Start with your brief