AI-native product design
UX that assumes intelligence is present: context capture, guided workflows, and human control where it matters.
- Information architecture + flows
- Interaction patterns for AI features
- Design systems and component libraries
Product studio · AI systems · Workflow intelligence
We build AI-native products that orchestrate work end to end.
I8N Labs designs and ships modern software where context, automation, and measurable progress replace disconnected tools and one-off prompts.
Speed
Prototype to production
Pragmatism
Cost, latency, evals
Systems
Context loops that compound
Orchestration
Context → Path → Action → Progress
Flagship product
CareerMinded.ai is built by I8N Labs.
CareerMinded.ai
A career orchestration system
Most career tools optimize isolated moments. CareerMinded keeps your career context connected, turns intent into structured paths, and closes the loop with measurable progress.
- Connected context across goals, roles, skills, and work history
- Realistic next-role paths with milestones and actions
- Automation and “smart actions” that reduce busywork
- Progress loops that update as you evolve
CareerMinded dashboard (example view).
What we do
A product studio approach, backed by modern AI systems engineering.
LLM orchestration
Routing, tooling, and guardrails that keep quality high and cost predictable.
- Model routing + fallbacks
- Prompt and context engineering
- Evaluation harnesses and monitoring
Workflow intelligence
Turn intent into structured tasks and automations that connect systems and update over time.
- Action graphs and automation
- Telemetry loops and optimization
- Integrations and data pipelines
Engagement models
Pick a lane. Ship something real.
Build Sprint
2–4 weeks
Prototype, validate, and deliver a production-grade v1 slice.
Advisory Retainer
Monthly
Product and AI strategy, architecture review, and implementation guidance.
Embedded Lead
Fractional
Hands-on execution across product, AI systems, and delivery.
How we think
Principles that keep products coherent as they scale.
Context compounds
The value is not in a single prompt. It’s in persistent, structured context that improves future decisions.
Systems, not demos
We design workflows, evals, and telemetry so the product stays reliable as models and data change.
Progress loops
Outputs should feed back into the system: milestones update, skills evolve, next actions adapt.
Cost is a feature
Latency, token burn, and model spend are product constraints. We build with governance from day one.
Let’s build something that ships
Share what you’re trying to launch. We’ll respond with a concrete next step: a sprint plan, an architecture direction, or an honest “not a fit.”
Fast response
Usually within 1–2 business days
Clear deliverables
No vague “AI transformation” decks