◆ AI / LLM APPS × EDTECH

AI / LLM apps development for edtech

We build LLM products that ship — not chat demos. Cost ceilings, fallback paths, evals, observability, and a real moat beyond the prompt. Tuned for edtech — Learning platforms, assessments, adaptive content, certification flows. We shipped Make It Real Academy + JobCannon's 1500+-skill engine.

◆ WHY MIR

Why teams pick us

Edtech-grade engineering

Learning platforms, assessments, adaptive content, certification flows. We shipped Make It Real Academy + JobCannon's 1500+-skill engine.

AI / LLM apps where it counts

We build LLM products that ship — not chat demos. Cost ceilings, fallback paths, evals, observability, and a real moat beyond the prompt.

Senior team, no pyramid

9+ years building outsourced product teams. Every engineer is a senior shipping production code — not a 5-person team with one architect on top.

◆ EDTECH PAIN POINTS WE SOLVE

Where AI / LLM apps meets edtech

Adaptive assessments that don't break statistical validity

We've shipped this in production. We design for it from day one — not as a retrofit.

Cert + verifiable credentials done right

We've shipped this in production. We design for it from day one — not as a retrofit.

Engagement loops that don't gamify into oblivion

We've shipped this in production. We design for it from day one — not as a retrofit.

B2B school sales workflows

We've shipped this in production. We design for it from day one — not as a retrofit.

◆ STACK

What we build with

OpenAI Anthropic Claude Vercel AI SDK LangChain / LlamaIndex (when justified) Postgres + pgvector Inngest / Trigger.dev Braintrust / Langfuse evals
◆ PROCESS

How we ship

  1. Define the eval set before you write the prompt.
  2. Ship a thin vertical slice in week 1 to learn the real failure modes.
  3. Add cost ceilings, retries, and human-in-the-loop where reliability matters.
  4. Instrument every call — latency, tokens, $, eval pass-rate.
◆ START A PROJECT

Tell us what you're building

We respond within 24 hours. NDA available on request.