AI agents and AI features that work inside your product
We put AI where it solves a real problem: agents that assemble content and plans per user, voice conversation partners, generation and data analysis. All of it runs in live products.
Typical projects
AI agents
An agent understands the request and works through a chain of steps on its own. In MemoAI, an agent builds a personal practice program weeks ahead.
Content generation
A multi-agent LangGraph graph generates nearly all of Wispy's learning content for each user's level; MuseFlow's pipeline produces posts and carousels for social.
Voice
Voice conversation partners and assistants on ElevenLabs. In Wispy, you practice spoken English with the AI out loud.
Answers from your data, and analysis
Answers grounded in your documents (RAG) and pattern-finding in data. In Dosym, the teacher panel surfaces patterns in students' drawings and moods.
What we've already shipped
How the work goes
Discovery
We unpack the task, goals and constraints. We scope the first release.
Design
Prototype and key screens. We align on the logic before any code.
Build & demos
Demos every 2–4 weeks plus access to in-progress builds — you can track progress anytime.
Launch & support
Release, monitoring, on-call. We keep the system alive.
Frequently asked
What AI features do you build?
Agents that work through multi-step tasks for the user, content generation, voice conversation partners, answers from your documents (RAG) and data analysis.
Do you have AI in production?
Yes. In Wispy, a multi-agent LangGraph graph generates nearly all learning content and an ElevenLabs voice partner provides speaking practice. In MemoAI, an agent builds growth programs; in MuseFlow, it writes social posts — reach on some accounts grew past 200k a month.
Which models and tools do you use?
Mostly the Claude API, ElevenLabs for voice, and LangGraph for agents. A product can also be opened up to AI agents via MCP — as MuseFlow is.
How do you keep AI output quality in check?
We build in quality evaluation (evals) and monitoring, so it's clear where the model goes wrong and what to fix. In MuseFlow, every post passes a quality check before it's published.
How much does it cost?
It depends on scope, so we estimate per project: you get an estimate within a day or two of the brief. Scope, price and timeline are fixed in writing before we start, and payments are staged. Fixed price or time & materials.
Tell us about the task — we'll come back with an estimate
Within a day or two of the brief. Scope, price and timeline fixed in writing before we start.