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Your next idea,built withintelligence.

AI by Blcksmith Engineering Studio

AI that does real work. We build intelligent products, custom agents, and automations that turn your team's next big idea into something you can use.

This decorative visualization is a grid of pixels that follows pointer and touch movement.

What we build

AI that does real work. Made with care.

The same studio behind our web and mobile work, applied to AI. We start from the job to be done, not the model.

Our approach

AI with a practical job to do.

For a team with a repeatable workflow, an information bottleneck, or a product opportunity. Every step is visible, and people stay in charge of what matters.

AGENT RUNInbox triage
Waiting on review

Read the requestA new message arrives in the shared inbox

Done

Look up the contextAccount history and the relevant policy

Done

Draft the responseGrounded in what it found, with sources

Done

Human reviewA teammate approves before anything is sent

Waiting
Every step visible, a person approving the last one. Illustrative run.
01

Workflow discovery

We find the repeatable task worth handing to AI, and the people around it.

02

Data and integrations

We plan what the system can see and touch, and where it connects.

03

A working implementation

A real capability in your product or workflow, not a demo.

04

Evaluation criteria

An agreed way to assess how well it performs, before and after launch.

How it works

Built around the task. Checked along the way.

Agents for focused jobs, automations for the repeatable ones, and evaluation that keeps both honest.

Custom agents

One job. Done well.

An agent built around a single, well-defined task, with the tools and context it needs and a clear point where a person takes over.

  • Defined scope
  • Tool use
  • Grounded answers
  • Human handoff
Automations

The busywork, handled.

Repeatable workflows that run on their own between the systems you already use, and tell someone when they need a decision.

  • Triggers & schedules
  • Your existing tools
  • Clear exceptions
  • Run history
Evaluation

Know it works. Keep it working.

Agreed checks for quality before launch and as things change, so you can see how the system performs instead of hoping it does.

  • Agreed criteria
  • Test cases
  • Review before launch
  • Ongoing checks
In the scope

Practical by design. Clear from the start.

The questions that decide whether AI works for you are part of the scope conversation from day one.

Model usage
Which models fit the job, and what they cost to run, decided together.
Data access
What the system can see, where it lives, and who can change it.
Human review
Where a person approves, corrects, or takes over.
Operating costs
Hosting, AI usage, and ongoing care, identified before the build.
Built on foundations we trustNext.js Convex WorkOS Vercel
Your next idea

Bring the workflow. We’ll bring the intelligence.