InTouch AI vs Make — Comparison Sheet

From Individual to Enterprise — One Platform, Every Scale

The short version: InTouch AI runs on your own hardware with no per-run charge and produces automation as plain JSON you can diff and review. Make is a hosted platform whose visual canvas is the clearest way to see branching logic — billed per operation, and only runnable inside Make.

Overview

	InTouch AI	Make
What it is	Automation platform with a built-in agentic AI assistant. Runs on your own machine, from a laptop to a Raspberry Pi to a server.	Hosted visual automation platform built around a drag-and-drop scenario canvas.
Who it is for	One person with a to-do list through to a Fortune 500 IT floor — technical or not. The assistant is the way in.	Power users who like to see the shape of their logic on a canvas.
Where it runs	Your hardware, your network. Nothing has to leave the building. Also fine in a cloud VM if you want one.	Their cloud only. There is no self-hosted Make.
How you pay	Personal Edition free forever, no per-run charge at any volume. Paid editions are licences, not meters.	Per operation — every module execution is billed, plus data transfer.

InTouch AI

Make

What it is

Automation platform with a built-in agentic AI assistant. Runs on your own machine, from a laptop to a Raspberry Pi to a server.

Hosted visual automation platform built around a drag-and-drop scenario canvas.

Who it is for

One person with a to-do list through to a Fortune 500 IT floor — technical or not. The assistant is the way in.

Power users who like to see the shape of their logic on a canvas.

Where it runs

Your hardware, your network. Nothing has to leave the building. Also fine in a cloud VM if you want one.

Their cloud only. There is no self-hosted Make.

How you pay

Personal Edition free forever, no per-run charge at any volume. Paid editions are licences, not meters.

Per operation — every module execution is billed, plus data transfer.

Workflow Design & Tools

	InTouch AI	Make
How automation gets built	Describe it in plain English and the assistant builds it. Or write IML directly. Or both — edit what it wrote.	Drag modules onto a canvas and wire them together.
What the automation IS	IML — plain JSON you own. Diff it, review it in a pull request, commit it, carry it to another install.	A scenario blueprint (JSON) you can export — but it only runs inside Make.
Adding a capability that does not exist yet	Implement one interface, drop in a JAR, and it hot-loads without restarting. It arrives already scheduled, credentialed, retried, logged and alerted.	Build a custom app in their app-builder, or use the generic HTTP module.
Configuration screens for your own tools	The Schema Designer renders a tool’s entire configuration form from its schema — including tools you wrote yourself. Nobody writes UI code per tool.	Custom app definitions render inside Make’s UI.
Reach beyond SaaS APIs	35 tool types in the free download: 11 SQL databases, SSH, FTP/SFTP, rsync, HTTP, AWS (the entire CLI v2), Google Workspace, OS/spawn, runtime environments, messaging, skills, and the AI family (Anthropic ×5, OpenAI, Gemini, Mistral, DeepSeek, xAI, OpenRouter, Ollama, embeddings, vector store, speech, images). Essbase and TM1 bring it to 37 once licensed. Docker, Git, Excel, PDF, LDAP, MongoDB, Cassandra and thirty more install from the Hub in one click.	App modules plus generic HTTP/SQL modules. Same on-network limitation.

InTouch AI

Make

How automation gets built

Describe it in plain English and the assistant builds it. Or write IML directly. Or both — edit what it wrote.

Drag modules onto a canvas and wire them together.

What the automation IS

IML — plain JSON you own. Diff it, review it in a pull request, commit it, carry it to another install.

A scenario blueprint (JSON) you can export — but it only runs inside Make.

Adding a capability that does not exist yet

Implement one interface, drop in a JAR, and it hot-loads without restarting. It arrives already scheduled, credentialed, retried, logged and alerted.

Build a custom app in their app-builder, or use the generic HTTP module.

Configuration screens for your own tools

The Schema Designer renders a tool’s entire configuration form from its schema — including tools you wrote yourself. Nobody writes UI code per tool.

Custom app definitions render inside Make’s UI.

Reach beyond SaaS APIs

35 tool types in the free download: 11 SQL databases, SSH, FTP/SFTP, rsync, HTTP, AWS (the entire CLI v2), Google Workspace, OS/spawn, runtime environments, messaging, skills, and the AI family (Anthropic ×5, OpenAI, Gemini, Mistral, DeepSeek, xAI, OpenRouter, Ollama, embeddings, vector store, speech, images). Essbase and TM1 bring it to 37 once licensed. Docker, Git, Excel, PDF, LDAP, MongoDB, Cassandra and thirty more install from the Hub in one click.

App modules plus generic HTTP/SQL modules. Same on-network limitation.

Scheduling & Triggers

	InTouch AI	Make
Scheduling	7 native schedule types, plus file triggers, folder triggers and AI-condition triggers.	Scenario scheduling on an interval or a specific pattern, plus instant triggers.
Reacting to a file landing on disk	First-class. A trigger watches a path or folder, with a settle timer so it does not fire on a half-written file.	Same — cloud storage watchers, not local paths.
Stopping two runs colliding	Collision detection and exclusive locks, so a long run cannot trample the next one.	Not offered.

InTouch AI

Make

Scheduling

7 native schedule types, plus file triggers, folder triggers and AI-condition triggers.

Scenario scheduling on an interval or a specific pattern, plus instant triggers.

Reacting to a file landing on disk

First-class. A trigger watches a path or folder, with a settle timer so it does not fire on a half-written file.

Same — cloud storage watchers, not local paths.

Stopping two runs colliding

Collision detection and exclusive locks, so a long run cannot trample the next one.

Not offered.

AI Capabilities

	InTouch AI	Make
Where the AI sits	Inside the engine. The assistant builds tools, workflows, credentials, schedules and monitors, runs them, reads the logs and fixes what broke.	AI modules and agent features you place on the canvas.
Choosing your own model	8 providers — OpenRouter (one key, 367 models), Anthropic, OpenAI, Gemini, Mistral, DeepSeek, xAI, and Ollama for fully local.	Provider modules you configure.
Running with no AI at all	Fully supported and common: AI authors the workflow once, then it runs forever with no model in the execution path and zero AI cost per run.	Same.
Cost of AI over time	Zero per run once authored, because the artifact is deterministic. You can also watch spend by provider, model and project.	AI modules consume operations on every run.

InTouch AI

Make

Where the AI sits

Inside the engine. The assistant builds tools, workflows, credentials, schedules and monitors, runs them, reads the logs and fixes what broke.

AI modules and agent features you place on the canvas.

Choosing your own model

8 providers — OpenRouter (one key, 367 models), Anthropic, OpenAI, Gemini, Mistral, DeepSeek, xAI, and Ollama for fully local.

Provider modules you configure.

Running with no AI at all

Fully supported and common: AI authors the workflow once, then it runs forever with no model in the execution path and zero AI cost per run.

Same.

Cost of AI over time

Zero per run once authored, because the artifact is deterministic. You can also watch spend by provider, model and project.

AI modules consume operations on every run.

Security & Access Control

	InTouch AI	Make
Where your credentials live	An AES-256 vault on your machine. The assistant can USE a credential to do work without the secret ever entering its context.	Stored in Make’s cloud.
Whether your data leaves the building	It does not have to. Run every step locally, with a local model if you want, and nothing crosses the network.	Every operation runs in their cloud.
Audit trail	Every action attributed and timestamped; every run keeps inputs, outputs and result code — in the free edition, not a tier. Both are readable by the assistant.	Execution history; broader audit on enterprise plans.
Granting access to individual capabilities	Capability grants: allow or deny individual tools, AI providers, skills — and the assistant itself — per user or per group. Deny-by-default, enforced where a user reaches for the capability: listing tools, adding one to a workflow, running a skill, opening the assistant. (Enterprise; Department governs objects through roles.)	Team roles on higher plans.

InTouch AI

Make

Where your credentials live

An AES-256 vault on your machine. The assistant can USE a credential to do work without the secret ever entering its context.

Stored in Make’s cloud.

Whether your data leaves the building

It does not have to. Run every step locally, with a local model if you want, and nothing crosses the network.

Every operation runs in their cloud.

Audit trail

Every action attributed and timestamped; every run keeps inputs, outputs and result code — in the free edition, not a tier. Both are readable by the assistant.

Execution history; broader audit on enterprise plans.

Granting access to individual capabilities

Capability grants: allow or deny individual tools, AI providers, skills — and the assistant itself — per user or per group. Deny-by-default, enforced where a user reaches for the capability: listing tools, adding one to a workflow, running a skill, opening the assistant. (Enterprise; Department governs objects through roles.)

Team roles on higher plans.

Deployment & Infrastructure

	InTouch AI	Make
What it takes to install	One JAR with an embedded database. About five minutes. A Raspberry Pi 5 is enough.	Nothing to install — a genuine advantage.
If the vendor disappears tomorrow	It keeps running. It is on your hardware, and the automation is JSON you already have.	Your automation stops.
Air-gapped or regulated environments	Supported. No outbound dependency, and a fully local model if AI is required.	Not possible.

InTouch AI

Make

What it takes to install

One JAR with an embedded database. About five minutes. A Raspberry Pi 5 is enough.

Nothing to install — a genuine advantage.

If the vendor disappears tomorrow

It keeps running. It is on your hardware, and the automation is JSON you already have.

Your automation stops.

Air-gapped or regulated environments

Supported. No outbound dependency, and a fully local model if AI is required.

Not possible.

Summary: When to Choose What

Choose InTouch AI when…	Choose Make when…
Your automation has to reach machines and databases on your own network; you want it reviewed like code rather than inspected like a diagram; you do not want per-operation billing; or you want to describe the job in words instead of assembling it.	The canvas. For branching, iteration and data reshaping, seeing the whole scenario laid out visually is genuinely easier to reason about than reading any file — and Make’s routers, iterators and aggregators are excellent at it.

Choose InTouch AI when…

Choose Make when…

Your automation has to reach machines and databases on your own network; you want it reviewed like code rather than inspected like a diagram; you do not want per-operation billing; or you want to describe the job in words instead of assembling it.

The canvas. For branching, iteration and data reshaping, seeing the whole scenario laid out visually is genuinely easier to reason about than reading any file — and Make’s routers, iterators and aggregators are excellent at it.