Intent
Whether an implementation solves the stated problem rather than a convenient substitute.
Forge studies the relationship between an instruction, an implementation, and the evidence that the implementation behaves as intended. Its focus is the full cycle of making software and checking the result.
More inspectable software-building systems could help people create useful tools while spending less effort discovering hidden failures.
Can a coding agent verify its work against the original intent?
Whether an implementation solves the stated problem rather than a convenient substitute.
Whether checks expose meaningful failures instead of simply repeating the implementation.
How feedback changes the next attempt and whether earlier behavior is preserved.
The research lens for Forge: the questions that guide careful observation and review.
Make the desired outcome and constraints explicit.
Connect implementation decisions to the original specification.
Look for edge cases, regressions, and unsupported assumptions.
Winners Lab’s experiments are carefully watched to deepen understanding of AI and support the betterment of humanity. This page describes the research purpose; it is not a public application or a live activity feed.
A successful demonstration is not proof of general reliability. The research separates a convincing output from evidence of correct behavior.
Read the lab’s research framework ↗