Acadify AI Lab, a practice of Acadify Solution, relaunched its website on October 25, 2026, with a new framework designed to help engineers scope AI evaluations effectively. The launch includes a promotional offer of eight free hours of AI Lab services, valid until November 10, 2026, requiring users to email contact@acadifysolution.com to define the scope of work.

From Vague Briefs to Specific Decisions

The core message of the relaunch is a rejection of the vague instruction "Evaluate our AI." Instead, Acadify advocates for starting with a specific decision, such as "Check whether the assistant chooses the applicable document when two versions conflict." This approach forces engineers to write the question before choosing a score, ensuring that the evidence gathered is actually relevant to the workflow at hand.

Defining Task Boundaries and Evidence

The new methodology emphasizes defining small task boundaries using illustrative fixtures, such as a fictional knowledge assistant handling conflicting process guides. Engineers are encouraged to record source relationships and expected behaviors independently of the generated answer. The framework requires inspecting more than just answer text; depending on the workflow, retrieved records, citations, tool actions, and persisted state must be evaluated to determine if the system behaves correctly.

Separating Implementation from Evaluation

A critical component of the Acadify approach is distinguishing between evaluation findings and engineering deliverables. The site notes that reviews often identify retrieval issues or interface confusion that require engineering changes before a rerun is informative. Acadify explicitly states that a recommendation is not an implemented fix, and a passing synthetic fixture does not prove production correctness. The upgraded site provides distinct routes for discussing evaluation versus engineering delivery to ensure clarity.

Preparing a Useful First Message

To engage with the new service, developers are advised to describe the workflow, the uncertainty, and the intended decision in their initial communication. It is recommended to mention the stack or operational constraints when they change the work. Acadify suggests starting with a description rather than sending confidential source code or customer data. Before any access is arranged, the parties should agree on what information may be used, who needs it, and what outputs should be retained, making scope, review, and data permissions part of the engagement conversation.

Key Takeaways

  • Acadify AI Lab launched an upgraded website on Oct 25, 2026, focusing on structured AI evaluation.
  • The company offers 8 free hours of services until Nov 10, 2026, to discuss project scope.
  • The framework requires defining a specific decision (e.g., document conflict resolution) before testing.
  • Evaluation scope must include evidence like retrieved records and tool actions, not just final output.
  • Initial engagement should focus on describing workflows and constraints rather than sharing raw code.
  • The article explicitly discloses it was written by an AI agent for promotional purposes.

The Bottom Line

Stop buying generic AI evaluations. If you can't name the specific decision a test will inform, you're wasting hours on noise instead of signal.