01 / STRATEGY
Find the real opportunity.
Make sense of what AI can and cannot do for your operation. Identify the decision, workflow, or bottleneck worth solving first.
Practical AI advisory ↗The Digital Grapevine / AI solutions & R&D
From AI ideas to systems that work.
Most businesses don't need more AI output. They need a better system around it. We design practical agentic workflows, rapid prototypes and context-aware applications that are useful beyond the demo.
Led by Robert Lavigne · Independent, remote-first · Brantford, Canada
TDGv / Systems blueprintCoherence first
THE CONTEXT ENGINE
01 / MemoryRemember what matters
02 / OrchestrationCoordinate the work
03 / VerificationMake results inspectable
04 / ContinuityCarry state forward
Where we create value
What do you need AI to do?
Start with your business problem. We'll help shape the smallest useful system that can solve it.
02 / BUILD
Make the idea tangible.
Move from concepts to working prototypes and connected workflows. Test assumptions against useful, observable outcomes.
Prototyping & workflows ↗03 / ENGINEER
Make it repeatable.
Build the structure around your models: skills, state, tools, control loops, and traces that let the system be understood and improved.
Agentic harness design ↗Not another tool-first AI pitch. A path from real needs to coherent systems.
Tell us what you’re building ↗Our working method
Architecture before autopilot.
We focus on how models interact with people, business rules, memory, and real-world constraints—not just the impressive answer on the screen.
01 / DISCOVER
Frame the job
Clarify the business goal, sources, constraints, and human decisions.
02 / PROTOTYPE
Make it real
Build a small working system rather than a slide-deck promise.
03 / EVALUATE
Expose the behavior
Test failure modes, log useful traces, and verify outcomes.
04 / EXTEND
Design continuity
Give useful systems a path toward reliable operation and improvement.
Practice meets published thinking
Ideas made inspectable.
Robert Lavigne's published work and collaborative R&D help make the thinking behind the architecture visible—from technical agent loops to human judgment and AI evaluation.
Explore the R&D lab ↗
A useful conversation starts here
Have a problem worth solving?
Tell me what you're trying to make happen. We can explore whether AI belongs in the solution, what an initial prototype might prove, and what success would actually look like.
Start a project conversation ↗No promises of magic. Just practical systems thinking.