Check the whole request.
Account for every required output in a supported task, including the combined answer. A passed component is useful evidence; the full request still needs its own check.
EVIDENCE BEFORE ACCEPTANCE
Stop incomplete work passing as a finished answer. Prooftronix checks the required parts, their supporting evidence and the actual combined response in supported workflows. Missing or mismatched work stays visible before release. For AI and automation teams, the opportunity is fewer silent omissions, clearer review records and less avoidable rework.
Checking components used in BBF workflows · integration by agreement
UK application GB2625576.0 · Pending · Filed 27 October 2026
07 / CHECK
ProoftronixCHECKED COMPLETIONAI & AUTOMATION · CHECKED COMPLETION
An automated system can produce several good pieces and still miss the job it was asked to do. Prooftronix makes the requirements and the actual combined response part of the check.
Account for every required output in a supported task, including the combined answer. A passed component is useful evidence; the full request still needs its own check.
Keep missing evidence, failed conditions and unsupported results visible, so reviewers can focus on the unresolved work.
Keep a record of what was requested, checked and accepted. Evaluate whether that reduces silent errors, review effort and repeated work in your application.
A PRACTICAL EXAMPLE
Recorded component results include 72/72 targeted turns and 825/825 checks. A separate continuity study passed 16/16 fresh cases and 55/55 final controls; the earlier initial-control HOLD remains in the history below.
Across the wider BBF stack, compact representation, selective reconstruction and checked results can support richer workflows with less repeated data movement. Explore compact transfer and measured structured-state reconstruction →
WATCH THE INTRODUCTION
Product chapter from the BBF portfolio introduction.
00:03:32–00:03:58 in the eight-technology introduction · Narrated by Aeternum. Read the portfolio transcript →
This scene preview stops at the end of the selected chapter. Open the video library to watch from a scene onwards.
APPLICATIONS TO EVALUATE
Evaluate checks on multi-part answers, required evidence and omitted obligations before a supported response is released.
Evaluate whether required records, summaries and source references are present together at the delivery boundary.
Give reviewers a clearer record of unmet conditions and acceptance decisions. Measure full review effort against your existing checks.
HOW YOU COULD USE IT
A defined workflow needs to identify its source, describe the change and record its current state. Check those obligations and the actual combined response before accepting the handoff.
PORTFOLIO INTRODUCTION
Discover how our eight technologies address AI workflows, data, graphics, interactive worlds and learning.
BUILT WITH BBF
TokenHoloFold shows how supported local operations and result checking can work together in an AI workflow.
WHAT THE WORK SHOWS
One recorded offline study passed 72 targeted turns and 825 checks. A separate continuity study passed 16 fresh cases and 55 final controls; its earlier initial-control failure remains in the test history. These studies check declared task requirements and delivered responses.
PUT IT TO WORK
Bring a task where missing one requested output causes rework or manual review. Define what a complete result must contain, then compare correct releases, incomplete outputs, unnecessary holds and total review effort.
Study details and comparisons ↓TEST RESULTS & TECHNICAL NOTES
Review the recorded tests, comparison methods and application-specific evaluation questions.
| Offline response-checking component | Recorded result |
|---|---|
| Multi-part response study · targeted turns | 72 / 72 passed |
| C48 checks | 825 / 825 passed |
| Separate continuity study · fresh cases | 16 / 16 passed |
| C111 final controls | 55 / 55 passed |
| Earlier C111 initial-control result | 100 / 101; original HOLD preserved |
The checks concern ordered request requirements and the actual combined response submitted for checking. A comparison with an equally capable checking system should measure false releases, unnecessary holds and complete review overhead.
These are finite component correctness counts. They do not establish independent truth, all-domain safety, protected-action authority or a customer error-rate improvement. The TokenHoloFold film and its integrated-route results are a separate application example.
REQUEST A DEMO OR PAID EVALUATION
Bring a multi-part operation and the conditions for a complete result. We’ll scope an evaluation of correct outcomes, exception handling, review records and operating cost.