Durable vs Adept AI

Durable turns business problems described in plain English into production-ready automations that your team can deploy and maintain without writing code. You describe a workflow issue, Durable investigates connected systems like Salesforce or Snowflake, and produces reviewable requirements before writing real code. Deployments happen with one click, and Durable monitors automations afterward, fixing API breaks and submitting updates for approval.

Unlike agent-first platforms that chain LLM calls into brittle workflows, Durable writes deterministic production code and uses AI only where judgment is needed, such as classifying documents or mapping custom fields. Requirements stay in plain English as the source of truth, so edits propagate to code without filing tickets or waiting on engineering sprints.

Operations teams at mid-market and enterprise companies use Durable for CRM syncs, invoice processing, lead routing, and customer onboarding. Integrations cover 44 systems including Salesforce, Slack, HubSpot, Jira, and Snowflake, with SOC 2 Type II and a 99.9% uptime SLA for production workloads.

Adept builds agentic automation that watches how you work in the browser and repeats multi-step software workflows on command. You teach actions in plain language, and Adept's models translate them into repeatable agents for spreadsheets, CRMs, and internal web apps.

Compared with brittle RPA macros, Adept's Workflow Language composes multimodal web interactions on top of its own models, so agents adapt when layouts shift instead of breaking on every UI tweak. Amazon licensed Adept technology in 2024, but Adept continues as an independent company focused on enterprise agents.

Operations teams, revenue ops analysts, and product engineers use Adept to offload repetitive browser work without maintaining a separate macro script library.