Skill Accolades is the proof layer of AFA: qualifying evidence of demonstrated AI Fluency can become portable, evidence-backed recognition that can be shared, explained, and verified.
Course certificates can show participation. Tool lists can show exposure. Neither necessarily shows how a person actually collaborated with AI, challenged weak outputs, handled risk, or produced a strong result. Skill Accolades is designed to make qualifying evidence of demonstrated capability more portable and trustworthy.
Skill Accolades converts proof-worthy evidence from AFA into recognition that can support a capability claim. The emphasis is on the evidence behind the recognition — not on a badge for its own sake.
Recognition is linked to demonstrated behavior or outcomes rather than completion alone.
The individual can carry the recognition across contexts instead of leaving it trapped in a single platform.
Where appropriate, the recognition can be independently checked using standards-based credential technology.
Evidence is generated through real collaboration, assessment, or other qualifying activity.
The evidence must meet the relevant recognition criteria. Detailed award logic remains protected to reduce gaming.
The resulting recognition can be presented as evidence-backed proof and, where appropriate, independently verified.
Skill Accolades can use standards such as W3C Verifiable Credentials and cryptographic verification to make recognition portable and tamper-resistant. These implementation details support the trust model; they are not the primary user experience or the reason to use AFA.
The user-facing promise is simpler: demonstrated capability can become proof that is easier to share, explain, and verify.
AFA Assessment measures demonstrated AI Fluency. AFA Coach helps people grow it. Skill Accolades is the optional proof layer when qualifying evidence should become a portable professional signal.
The evidence qualification logic, recognition policies, and anti-gaming controls are proprietary. Public descriptions explain the purpose and trust model without exposing the internal rules used to determine eligibility.
