ChatGPT Plugin

PhygitAi

AI-Assisted Design Review

Brand: PhygitAi

Category: AI
Primary Subcategory: AI Output Verification & Grounding

Integration details

Description

A research-stage, public screening tool for designers, students and researchers examining AI-assisted product design. Provide project descriptions and attributed evidence; use six modes (Audit, Compare, Inspect, Detect, Explain, IBR) to organize records, trace human decision authority, identify unsupported claims and document provisional discrepancies. Uses a separate read-only MCP server to process the evidence submitted for each request. No independent device monitoring, empirical validation, safety testing, certification, or scores. The server does not access private research methods or the original private PhygitAi backend.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: AI Output Verification & Grounding
Secondary Subcategories: None listed
Brand: PhygitAi
Access: No account required
First tracked: 2026-10-23
Tool count: 6
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

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ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

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Primary Subcategory

Competing in ChatGPT AI Output Verification & Grounding

View Category

Listed in alphabetical order

Primary Subcategory

Acumen by TalarionComing soonGet notified

AgoraComing soonGet notified

AI Delivery Evidence CheckerComing soonGet notified

AI Detector by AI GPT ZeroComing soonGet notified

ArmatureComing soonGet notified

PhygitAiComing soonGet notified

Tools

6 tools agents can invoke

Use to review one user-described AI-assisted product project across G0–G5. Only evaluate supplied records; do not verify tests or certify safety.
phygitai_audit
Build a structured seven-field Intention–Behavior Record (IBR) for one design decision, using user-supplied field statuses and evidence source IDs. No human approval or independent verification is implied.
phygitai_build_intention_behavior_record
Use for qualitative side-by-side evidence coverage in two separate projects. No scores, rankings or winner.
phygitai_compare
Classify explicitly provided intention-versus-outcome discrepancies only provisionally. Missing observations are not a fault and not Category C.
phygitai_detect
Explain an existing finding and its user-supplied source labels without changing classifications or running a new audit.
phygitai_explain
Identify which user-supplied claims and source labels are present, planned or missing. Does not inspect external systems.
phygitai_inspect

FAQs

PhygitAi ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve PhygitAi's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are PhygitAi alternatives on ChatGPT?

As of 2026-10-23, PhygitAi competes with Acumen by Talarion, Agora, AI Delivery Evidence Checker, AI Detector by AI GPT Zero, Armature, Bright, CiteLLM, Coval and 18 more in ChatGPT AI Output Verification & Grounding, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.