Surf the AI Wave
Workshops
Who This Is For
Engineers curious about the frontier of AI adoption.
What We Do
Teach bedrock context and agentic engineering concepts that get more useful as models improve, not obsolete.
The Transformation
We tried AI on real work and it flailed, so it must not be ready
We can see exactly why it failed and how to make it work on our hardest tasks.
Engineers assume they're close to the ceiling of AI's capabilities
They realize they've been at 20% of what's possible and that skills are their bottleneck.
That kind of AI is hype, nothing more than a demo
I know the exact skills and patterns to make that work here.
Hands-On Training
Who This Is For
Teams ready to apply frontier AI techniques to their hardest current problems.
What We Do
Pair with your engineers on the problems they're dealing with right now. Teach context and agentic engineering concretely by applying them to real work.
The Transformation
That might work for you, but our stack is too weird.
We just used it on our own gnarliest tickets, and it worked.
I get context and agents in theory, but I can't drive it myself.
Guided reps gave me confidence I can replicate on future work.
AI is only trusted for tests and docs
AI becomes the default starting point for all tasks.
Context Layer Implementation
Who This Is For
Teams who want to turn the expertise of their best engineers into shared agentic infrastructure.
What We Do
Build a systematic context layer over your codebase. Hierarchical documentation sits alongside your code and makes agents perform like your best engineers.
The Transformation
Context engineering expertise is required to get great results from agents
High-quality context engineering becomes the default for every engineer and agent.
Agents only see scattered code, so they ignore system and product intent
All critical context is captured at the right granularity for every layer to guide behavior.
Every task starts with 30–90 minutes of context wrangling
Jump straight into planning because agents pull in precise context automatically.
Agentic Implementation
Recommended Reading
AI Adoption Roadmap →Who This Is For
Teams building agentic products or internal tools right now. Want it done fast and done right.
What We Do
Build advanced agentic systems: internal tools, MCP servers, and customer-facing experiences using frontier techniques and experience.
The Transformation
Internal agents top out on simple, scripted tasks
Multi-agent systems delegate, iterate, and improvise to execute cross-system workflows.
Engineers spend months of trial and error figuring out how to make agents reliable
Your team stays focused on your roadmap while you get a working agent in weeks.
Agent projects are an R&D gamble
You follow best practices from demo to prod. Reliable agents are the default outcome.
Ready to stop drowning?
Make your engineers surfers. Start with a workshop, go deep with training, or let us build the systems.
Book a CallOr email hello@intent-systems.com