Services · AI applications & forward deployed engineering

We build AI applications — and ship them inside your team.

We design, build and ship Claude-powered agents and workflows inside your products and operations — from first use case to something your team runs every day.

What we do

Two ways we work
with your team.

We build AI products end to end, or we embed with your engineers and ship alongside them. Often it's a mix of both.

Build

AI Applications

We build production AI products and internal tools on Claude — designed around a real workflow, not a demo.

  • Agents and copilots for your users or your staff
  • Document & knowledge workflows
  • Content pipelines
  • Automation of repetitive operational work
Embed

Forward Deployed Engineering (FDE)

We embed with your team, work in your codebase and systems, and take a use case from scope → prototype → production.

  • Agent & workflow design
  • Evaluation (evals) and guardrails
  • Integration with your data and tools
  • Handover and enablement, so your team owns it

Agent & workflow design

Tool use, prompts and control flow shaped around how the work actually gets done.

Evals & quality

Test sets and success criteria agreed up front, so quality is measured, not guessed.

Integrations

APIs, internal tools and MCP servers that connect models to your systems.

Enablement & handover

Docs, walkthroughs and pairing so your team can run and extend what we build.

How we work

From use case
to production.

Short, focused iterations. We get something working on real data early, then harden it.

01

Discover & scope

Pick a high-value use case together, define what success looks like, and write the evals that will measure it.

02

Prototype

A working prototype on your real data, quickly. We put it in front of real users and iterate on what we learn.

03

Build for production

Integration with your systems, guardrails, monitoring, and tuning for cost and latency.

04

Hand over & scale

Docs and training so your team runs it. If you need us, we stay on for further iteration.

Stack

What we build with.

A deliberately small, modern toolset — chosen so your team can keep running it after we hand over.

Claude models via the Claude API Claude Code our main engineering tool Model Context Protocol (MCP) Agent workflows & tool use TypeScript / Python Static & serverless deployment e.g. Cloudflare, GitHub
Case studies
🚧 In progress

Case studies coming soon

We're preparing write-ups of recent work. Ask us for details by email: contact@aipulse.lol

Have a use case in mind?

Tell us what you're trying to get done. We'll reply with honest thoughts on whether — and how — AI can help.

contact@aipulse.lol