LLM Integration Services
acty.dev connects an LLM or API capability to an existing workflow, app, or internal tool, and delivers it as a scoped integration with a UI or API flow, test prompts or cases, documentation, and deployment or handoff notes.
We connect an LLM or API capability to an existing workflow, app, or internal tool, then deliver it as a scoped integration with test prompts or cases, documentation, and deployment notes. AI-assisted output stays under human review.
The problem we solve
Many teams have a working process or application and a clear idea for an LLM or API capability, but no practical path from that idea to a usable, reviewed workflow that runs in production rather than a one-off prototype.
How we work
- Task review.We review your task, current workflow, app, and the systems or data involved, then agree on a scoped integration before any build starts.
- Build with review.We connect the LLM or API capability against the agreed scope, with human review of AI-assisted output at each step.
- Deploy or hand off.We deploy the integration to production or hand it off with environment notes and a repeatable way to run it.
- Document and support.We hand over documentation and a review checklist, and offer ongoing support or a development retainer when further work is needed.
What you bring / what you get
Inputs
- Your current workflow, app, or internal tool
- Access to the API, data, or system to connect
- The outcome or decision the integration should support
Outputs
- A scoped LLM or API integration
- A UI or API flow with test prompts or cases
- Documentation and deployment or handoff notes
Definition of done.A scoped LLM or API integration connected to your workflow, app, or internal tool, delivered with test prompts or cases, documentation, and deployment or handoff notes, with AI-assisted output kept under human review.
Fit and anti-fit
Good fit
- Small and mid-market teams with a real workflow or app to extend
- Buyers who need implementation and delivery, not just advice
Not a fit
- Idea-only requests with no real process, data, or system
- Micro-budgets with no defined scope
Questions
- What does LLM integration include?
- Connecting an LLM or API capability to your existing workflow, app, or internal tool, delivered as a scoped integration with a UI or API flow, test prompts or cases, documentation, and deployment notes.
- Do you keep AI output under human review?
- Yes. AI-assisted output is reviewed by a person at each step, and we hand over a review checklist so your team can keep the workflow reliable before wider use.
- What is out of scope?
- We do not claim a universal AI agent or decisions made without human review. Specific model providers or frameworks are named only when a proof or source supports them.
Pricing.Small scoped tasks can start from a few hundred dollars. Larger implementation work and ongoing retainers are scoped after a task review. (Scoped after a task review.)
