Pi Babysit: address PR #7609 feedback

Author: Sim Pi Agent

apps/sim/content/library/best-ai-automation-tools-2026/index.mdx

@@ -68,7 +68,7 @@ The comparison uses publicly described product capabilities and plan terms. Pric
 
 **Best for:** Technical buyers who want to control their agent infrastructure and build through natural-language instructions, a visual canvas, or code.
 
-[Sim](https://www.sim.ai/) supports [natural-language, visual, and programmatic building](https://docs.sim.ai/introduction) in one workspace. [Mothership](https://docs.sim.ai/mothership/tasks) can create and operate workflows, Tables, Files, knowledge bases, and recurring jobs through plain-language instructions. You can inspect and edit the same logic on a block-based canvas, then trigger or embed workflows through the API and SDK.
+[Sim](https://www.sim.ai/) supports [natural-language, visual, and programmatic building](https://docs.sim.ai/introduction) in one workspace. [Mothership](https://docs.sim.ai/chat/tasks) can create and operate workflows, Tables, Files, knowledge bases, and recurring jobs through plain-language instructions. You can inspect and edit the same logic on a block-based canvas, then trigger or embed workflows through the API and SDK.
 
 Sim releases its core under the [Apache 2.0 license](https://github.com/simstudioai/sim), which permits commercial use, modification, and distribution under its terms. You can use the managed cloud or [self-host through Docker or Kubernetes](https://docs.sim.ai/platform/self-hosting). The open-source core gives you control over deployment and modification, while the [Enterprise plan](https://www.sim.ai/pricing) adds governed self-hosting and organizational controls.
 
@@ -113,7 +113,9 @@ n8n works best when predictable workflows form the core requirement. Its [AI Age
 - Non-technical users may find n8n harder to operate than managed no-code products.
 - n8n uses a source-available [fair-code license](https://docs.n8n.io/privacy-and-security/sustainable-use-license). Sim uses Apache 2.0, which gives you broader rights to modify, redistribute, and build commercial products from the code.
 
-**Pricing:** n8n offers a [Community Edition without a software license fee](https://docs.n8n.io/deploy/host-n8n/community-edition-features) for self-hosting. [Cloud plans charge according to monthly workflow executions](https://n8n.io/pricing/), and enterprise pricing adds governance and support. Self-hosted deployments still carry infrastructure and maintenance costs. Read our guide to [n8n alternatives](https://www.sim.ai/library/n8n-alternatives) for a deeper comparison.
+### Pricing
+
+n8n offers a [Community Edition without a software license fee](https://docs.n8n.io/deploy/host-n8n/community-edition-features) for self-hosting. [Cloud plans charge according to monthly workflow executions](https://n8n.io/pricing/), and enterprise pricing adds governance and support. Self-hosted deployments still carry infrastructure and maintenance costs. Read our guide to [n8n alternatives](https://www.sim.ai/library/n8n-alternatives) for a deeper comparison.
 
 ## Zapier
 
@@ -123,19 +125,21 @@ Zapier supports app-to-app automation through an [extensive connector catalog](h
 
 Zapier provides a hosted automation builder based on [triggers and actions](https://help.zapier.com/hc/en-us/articles/8496288188429-Set-up-your-Zap-trigger). [Zapier Agents](https://zapier.com/agents) adds AI-driven task execution, but the agent product sits alongside Zapier's established workflow engine rather than serving as its foundation.
 
-**Pros**
+### Pros
 
 - Zapier's [extensive connector catalog](https://zapier.com/apps) supports a wide range of SaaS workflows.
 - The [hosted service](https://zapier.com/) handles deployment, maintenance, and infrastructure.
 - The familiar [no-code interface](https://zapier.com/how-it-works) works well for users without programming experience.
 
-**Cons**
+### Cons
 
 - [Task-based billing](https://zapier.com/pricing) can become costly when high-volume workflows contain several billable actions.
 - Complex branching and data transformations can feel constrained compared with more technical builders.
 - [Zapier Agents](https://zapier.com/agents) provides less control over agent infrastructure than an open-source, self-hostable platform.
 
-**Pricing:** Zapier [offers a free plan and paid tiers](https://zapier.com/pricing) based largely on task volume, features, and user access. Costs rise as workflows execute more billable actions, so buyers should estimate tasks per run before choosing a tier. Compare more options in our guide to the [best Zapier alternatives](https://www.sim.ai/library/best-zapier-alternatives).
+### Pricing
+
+Zapier [offers a free plan and paid tiers](https://zapier.com/pricing) based largely on task volume, features, and user access. Costs rise as workflows execute more billable actions, so buyers should estimate tasks per run before choosing a tier. Compare more options in our guide to the [best Zapier alternatives](https://www.sim.ai/library/best-zapier-alternatives).
 
 ## Make
 
@@ -145,20 +149,20 @@ Make's main strength is its mature scenario builder. [Routers split a workflow i
 
 Make also offers [AI Agents](https://www.make.com/en/ai-agents), but its scenario builder remains the primary focus in this comparison. Buyers seeking deep autonomous agent behavior may prefer an agent-native platform.
 
-**Pros**
+### Pros
 
 - The [visual canvas](https://www.make.com/en/product) shows each module, route, filter, and data mapping.
 - [Routers and iterators](https://help.make.com/router) support complex SaaS workflows.
 - The [managed service](https://www.make.com/en) removes infrastructure maintenance.
 
-**Cons**
+### Cons
 
 - Large scenarios can become difficult to scan and troubleshoot.
 - [Usage-based billing](https://www.make.com/en/pricing) can grow as scenarios process more steps.
 - Make's [product offering](https://www.make.com/en/product) does not include self-hosting or open-source deployment.
 - Buyers focused on agents should compare [Make's AI Agent controls](https://www.make.com/en/ai-agents) and deployment options with agent-native platforms.
 
-**Pricing**
+### Pricing
 
 Make [offers a free tier and paid plans based on usage credits](https://www.make.com/en/pricing), feature access, and execution capacity. Its pricing works well for predictable scenarios, but workflows with many modules can consume credits quickly.
 
@@ -170,19 +174,21 @@ Gumloop combines a [managed automation canvas](https://www.gumloop.com/) with re
 
 Gumloop partially overlaps with Sim because both support visual AI workflows. Gumloop is positioned for buyers who want a managed no-code service, while Sim is the better fit when self-hosting, Apache 2.0 licensing, or multiple builder modes matter.
 
-**Pros**
+### Pros
 
 - The [managed canvas](https://www.gumloop.com/) removes server maintenance and deployment work.
 - [Go-to-market templates](https://www.gumloop.com/templates) shorten setup for common research and enrichment workflows.
 - [Hosted MCP support](https://www.gumloop.com/mcp) reduces the work required to connect compatible services.
 
-**Cons**
+### Cons
 
 - Gumloop's [product offering](https://www.gumloop.com/) does not provide the same open-source ownership or self-hosting options as Sim.
 - [Credit-based usage](https://www.gumloop.com/pricing) can make costs harder to forecast when workflows process uneven volumes.
 - Technical builders have less infrastructure control than they get with open-source platforms.
 
-**Pricing:** Gumloop uses [managed subscription plans with usage credits](https://www.gumloop.com/pricing). Your cost depends on plan limits and workflow consumption, so estimate expected run volume before choosing a tier.
+### Pricing
+
+Gumloop uses [managed subscription plans with usage credits](https://www.gumloop.com/pricing). Your cost depends on plan limits and workflow consumption, so estimate expected run volume before choosing a tier.
 
 ## How the top picks compare