Agentic AI Comparison:
Dust AI vs Frontline

Dust AI - AI toolvsFrontline logo

Introduction

Dust helps teams create agents grounded in company knowledge and equipped with tools. Frontline combines CRM records with Max assistants, Studio agents, sequences and workflows. Ratings are subjective editorial opinions about each product’s stated purpose, not measured performance.

Overview

Frontline

Frontline combines CRM records with Max assistants, Studio agents, sequences and workflows. It suits teams that want customer data and repeated sales or support work in one platform.

Dust AI

Dust helps teams create agents grounded in company knowledge and equipped with tools. Workspace connections, permissions, model choices and credit budgets shape what each agent can do.

Editorial ratings · 1–10, higher is better

These scores express our judgement of the cited product facts. They are not measured performance benchmarks. Each product is assessed for its stated purpose; a higher score does not make different workflows interchangeable.

Evidence gaps lower confidence and affect the relevant judgement. Unknown pricing does not mean free access. Research prototypes and retired products retain their historical scope, with adoption ratings reflecting current access.

Ratings assessed: 2026-10-13. Source verification dates may differ.

Documented capability: How useful and complete is the documented workflow for the product's stated purpose?

  • 1–2: No usable current workflow established, or only an unsupported promise.
  • 3–4: Historical, experimental or very limited workflow; substantial delivery gaps.
  • 5–6: Concrete but narrow workflow, or promising research requiring specialist review.
  • 7–8: Substantial documented end-to-end workflow with useful controls or customization.
  • 9–10: Exceptionally complete documented scope and controls; reserve 10 for unusually strong evidence.

Ease of adoption: Can the intended user obtain and set up a usable product today?

  • 1–2: Discontinued, unavailable, waitlisted, or no usable deployment path verified.
  • 3–4: Archived software, restricted research/preorder access or uncertain current service access.
  • 5–6: Developer-managed setup, significant configuration or sales-led implementation.
  • 7–8: Active accessible product with manageable setup for its intended user.
  • 9–10: Straightforward self-service access and setup, with unusually few adoption obstacles.

Value and cost clarity: How attractive and understandable is the cost model for the documented use?

  • 1–2: No current purchasable or usable offer; historical prices cannot support a purchase.
  • 3–4: Material price, entitlement, license or availability uncertainty limits budgeting.
  • 5–6: Plausible value with custom pricing, significant setup costs or incomplete selected-plan terms.
  • 7–8: Useful scope with clear entry pricing/allowances or accessible source, while accounting for running costs.
  • 9–10: Exceptionally accessible and clear cost model for substantial useful scope; never assume free compute.

Integration options: How useful and extensible are the verified user-facing connections for the intended workflow?

  • 1–2: No current user-facing connection verified, or former connections are unavailable.
  • 3–4: Inputs/exports or one focused connection; internal dependencies are not native connectors.
  • 5–6: Useful API, configurable tools or several relevant connections, with limited verified breadth.
  • 7–8: Broad relevant connections or an extensible documented API/MCP/tool ecosystem.
  • 9–10: Extensive documented ecosystem with multiple connection mechanisms and strong task relevance.

Metrics Comparison

Documented capability

Dust AI: 8/10

Evidence confidence: high

Custom agents combine instructions, company knowledge and tools, providing a substantial workflow for organization-specific assistance and actions.

Frontline: 8/10

Evidence confidence: high

CRM context, scheduled routines, agents and follow-up workflows form a substantial operational toolkit for sales and support.

Compare the workflow each product is designed to provide.

Ease of adoption

Dust AI: 8/10

Evidence confidence: high

The active hosted service offers a free entry path and paid seats. Administrators still configure knowledge, access and tools.

Frontline: 8/10

Evidence confidence: high

A hosted free workspace and direct signup provide an accessible entry point. Data connections and action rules still need configuration.

Consider current access and the setup your team must perform.

Value and cost clarity

Dust AI: 8/10

Evidence confidence: high

Pro is $30 per seat monthly or $24 with annual billing and includes 8,000 monthly credits; Max is $150 or $120 annually billed with 40,000. Programmatic usage is separately metered.

Frontline: 8/10

Evidence confidence: high

Annual-billing prices start at $40/user/month for Max and $159/month for Workspace Standard, alongside a free Workspace tier. Credits, add-ons and chosen product determine total cost.

Budget for the selected offer and its running costs.

Integration options

Dust AI: 8/10

Evidence confidence: high

Knowledge connections, MCP tools and API access connect agents to business systems. Limits and permissions depend on the workspace and plan.

Frontline: 8/10

Evidence confidence: high

The catalog names a broad set of business tools and communication channels, plus REST API, custom tools, CLI and MCP paths. Each connection needs appropriate access.

Choose the connections needed by your actual workflow.

Conclusions

Choose Dust for agents built around company knowledge and tools. Choose Frontline when CRM records, sales or support sequences and recurring operational workflows are central. Compare the required seats, credits and add-ons instead of assuming a universal price winner.

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