Find the Trust Gaps
in Your AI Product

Buyers can’t predict what they’ll pay.

Free · 3 analyses per week · ~1 minute
 

Where AI products lose trust today

AI Vibe Coding Tools

79%

Avg Score

Top Gap: Cost Driver

Buyers struggle to predict how usage translates to cost.

Usage spikes often lead to unexpected bills, causing frustration and churn.

AI Dev Infrastructure

75%

Avg Score

Top Gaps: Cost Drivers · Spend Controls

Cost drivers are not clearly mapped to product behavior, making spend hard to forecast.

Weak safety rails leave teams without caps or alerts, increasing risk of unexpected bills.

AI-Native CRM

63%

Avg Score

Top Gaps: Value Units · Cost Drivers · Risk Controls

Core usage units and cost drivers are unclear, making it difficult to understand how workflows translate to cost.

Limited overage policies and missing controls reduce trust as usage grows.

GTM Platforms

60%

Avg Score

Top Gaps: Cost Drivers · Overages · Safety Rails

Workflow-level pricing is not clearly defined, making spend unpredictable.

Overage behavior and safety controls are often unclear, increasing risk and reducing buyer confidence.

AI Agents & Automation

68%

Avg Score

Top Gaps: Value Units · Cost Drivers

Agent behavior is hard to map to cost, making it difficult to predict how workflows scale economically.

This creates hesitation for teams deploying agents into production.

AI Media & Generation Tools

72%

Avg Score

Top Gaps: Output Predictability · Cost Drivers

Output quality and cost per result are inconsistent, making outcomes hard to predict.

This reduces confidence for repeatable production workflows.

AI Vibe Coding Tools

79%

Avg Score

Top Gap: Cost Driver

Buyers struggle to predict how usage translates to cost.

Usage spikes often lead to unexpected bills, causing frustration and churn.

AI Dev Infrastructure

75%

Avg Score

Top Gaps: Cost Drivers · Spend Controls

Cost drivers are not clearly mapped to product behavior, making spend hard to forecast.

Weak safety rails leave teams without caps or alerts, increasing risk of unexpected bills.

AI-Native CRM

63%

Avg Score

Top Gaps: Value Units · Cost Drivers · Risk Controls

Core usage units and cost drivers are unclear, making it difficult to understand how workflows translate to cost.

Limited overage policies and missing controls reduce trust as usage grows.

GTM Platforms

60%

Avg Score

Top Gaps: Cost Drivers · Overages · Safety Rails

Workflow-level pricing is not clearly defined, making spend unpredictable.

Overage behavior and safety controls are often unclear, increasing risk and reducing buyer confidence.

AI Agents & Automation

68%

Avg Score

Top Gaps: Value Units · Cost Drivers

Agent behavior is hard to map to cost, making it difficult to predict how workflows scale economically.

This creates hesitation for teams deploying agents into production.

AI Media & Generation Tools

72%

Avg Score

Top Gaps: Output Predictability · Cost Drivers

Output quality and cost per result are inconsistent, making outcomes hard to predict.

This reduces confidence for repeatable production workflows.

What the analysis evaluates

Product Clarity

Can buyers understand what your product does and the outcomes it delivers?

Cost Predictability

Can buyers predict how usage translates to cost and value?

Operational Trust

Do buyers see the controls needed to safely deploy and scale usage?

Example AI product analysis

Example: Hex

Overall score & band

Hex
Emerging

Key elements in place — structural gaps are costing you deals

8/ 16
50%
Value System
Score

Strengths & weaknesses

Analysis Summary

Top Strengths
ICP and job clarity
Hex clearly articulates its target audience, including both technical and non-...
Enables: Tailored messaging across segments.
Top Weaknesses
Product north star
Hex lacks a clearly defined, measurable primary outcome metric.
Impact: Hard to quantify value delivery.

Trust breakpoints

Trust BreakpointsWhere billing anxiety may surface
Unpredictable Usage Costs
If metering for 'agent credits' and 'pay-as-you-go compute' are not transparent, customers face unexpected bills.
Lack of Cost Control
Without explicit caps, alerts, or clear overage policies, customers may feel they lack spending control.

Dimension scores

Dimension Scores

01Product north star
Medium1/2
02ICP and job clarity
High2/2
03Buyer and budget alignment
High2/2
04Value unit
Medium1/2
Run My Score →

Scored across 8 dimensions

Product north starICP and job clarityBuyer and budget alignmentValue unitCost driver mappingPools and packagingOverages and risk allocationSafety rails and trust surfaces

Ready to find your trust gaps?

Get an instant, evidence-backed assessment of your AI product's trust infrastructure.

Run My Score →