Table of Contents
Make AI Agents vs Lindy (July 2026): Two Ways to Add AI to Your Ops Stack
Drafted July 6, 2026 by Pondero Reviews.
Here is the fork, and it is cleaner than either vendor lets on. You reach for Make when the job is connecting apps and running a structured process, even when an AI agent gets to pick which branch fires. You reach for Lindy when the job is acting like a person: triaging the inbox, taking a phone call, prepping you for a 2pm meeting off a text thread. Same sentence in the marketing, two different products underneath.
The pick, stated up front. Multi-app pipelines and anything you need to audit later go to Make. The personal-assistant loop (email, calendar, voice) goes to Lindy. The two overlap on "an AI does a task across several tools," and that overlap is exactly where buyers stall. The rest of this piece resolves it: what each tool actually does in July 2026, a pricing table across two realistic ops workloads, a four-quadrant decision matrix, and a per-persona verdict. Both are affiliate partners, disclosure is in the footer, and neither pays us to prefer it.
What Make AI Agents does now
The thing that changed since June: Make's next-generation visual agent builder is broadly available, not gated behind a waitlist. Make still labels AI Agents "beta" on its pricing page, so treat it as a young feature, not a locked-down one. But it ships on every plan, including the free tier, and that is a real shift from "closed beta, don't rely on it."
An agent in Make lives on the same canvas you already use to wire scenarios. You give it a goal, hand it a set of tools (which are Make modules, so anything Make connects to), and it decides which to call and in what order. Agents act across Make's 3,000+ app catalog, so a single agent can read a Gmail thread, check Airtable, post to Slack, and update a HubSpot record without you drawing every path in advance.
The feature that earns Make its slot here is the Reasoning panel. It shows every decision the agent makes, step by step, on the canvas, per Make's AI Agents page. When an agent does the wrong thing, you can see the tool call it chose and why, then fix the goal or the tool set. Most agent platforms are a black box. Make put the thinking on the board where you can debug it, and for an ops team that has to explain a bad automation to a boss, that visibility is the whole pitch.
Pricing runs on credits, and the model matters. Per Make's pricing page, the Free plan gives you 1,000 credits a month at $0. Core is $9/mo, Pro is $16/mo, and Teams is $29/mo, with all three paid tiers starting at 10,000 credits; Enterprise is custom. The key line, quoted from the page: "Each module action in your scenario ... counts as one credit." So an agent is metered per operation, not per session. Fire twelve module actions to close one task, burn twelve credits. That is cheap for tidy work and it climbs fast for chatty, many-step agents. Budget by counting operations, not runs.
Candid con: because Make meters per operation, a poorly scoped agent that loops or over-calls tools can eat credits in a way that is hard to predict before you build it. The Reasoning panel is your defense here. Watch the first runs, count the module calls, then decide if the shape holds at volume.
What Lindy does
Lindy starts from the opposite end. It is an AI employee, not a canvas. You describe what you want in plain language ("watch my inbox, draft replies to sales leads, flag anything from a customer"), and Lindy stands up an assistant that runs on triggers: a new email, a calendar event, an inbound call. The Meeting Notetaker and inbox agents are the flagship use cases, and they are the ones Make cannot match without a lot of scaffolding.
July brought a few upgrades worth naming. Per Lindy's July changelog, Lindy added Outlook event triggers (which makes the Meeting Notetaker useful for Outlook shops, not just Google Calendar), expanded its action library with hundreds of new actions across its app catalog through a Pipedream partnership, and added a faster Gemini Flash-Lite model for phone and voice agents. That last one matters because voice is where Lindy has no real competition on this list. Make does not take phone calls. Lindy does.
Pricing is where Lindy asks for trust. Per Lindy's pricing page, there is no free tier, only a 7-day trial. Plus is $49.99/mo (up to 2 inboxes, 100+ integrations). Pro is $99.99/mo (roughly 3x the usage of Plus, up to 3 inboxes, and it is the tier that unlocks computer use). Max is $199.99/mo (roughly 7x Plus usage, up to 5 inboxes). Enterprise is custom and carries SSO, SCIM, HIPAA, and audit logs.
The candid con is the meter. Lindy sells usage as opaque multiplier tiers ("3x," "7x"), not as a countable per-task price. You cannot look at a workflow and compute its monthly cost the way you can count Make operations. You size up a plan, watch your usage, and move up a tier when you hit the ceiling. For a personal-assistant loop that is fine; for a high-volume pipeline it is a budgeting headache. Also note computer use, the feature that lets Lindy click through apps with no API, is gated to Pro at $99.99/mo (per Lindy's pricing page). If that is the reason you want Lindy, Plus will not cut it.
Pricing compared
Neither vendor makes cost easy to estimate before you sign up, and the two meters do not convert to each other. Make charges per operation (one module action). Lindy charges by an opaque usage multiplier. So the honest framing is directional: anchor to the plan prices, reason about the workload shape, and expect your real bill to move with volume. The dollar figures below are the published plan prices as of July 6, 2026; the workload rows are illustrative reasoning, not measured results.
| Workload | Make | Lindy |
|---|---|---|
| Entry price to run agents | Free, 1,000 credits/mo; Core $9/mo, 10k credits (source) | Plus $49.99/mo, no free tier (source) |
| Inbox triage, 5 days/week | Doable, but you are building the email logic module by module; credits scale with how many actions each triaged email fires | The native use case. Plus at $49.99/mo covers 2 inboxes; heavy volume pushes you to Pro ($99.99) |
| Multi-app CRM update (Gmail to Airtable to Slack to HubSpot) | The native use case. One agent, metered per module call; Core or Pro ($9-$16/mo) covers a modest volume | Possible via integrations, but you are paying $49.99+/mo and metering against an opaque tier for work Make prices in single dollars |
| Weekly meeting prep from a text thread | Buildable, clunky; no native notetaker or voice | The native use case; Meeting Notetaker plus Outlook and Google triggers, Plus tier |
| Phone / voice agent | Not supported | Supported; faster Gemini Flash-Lite model, Plus and up |
| Computer use (drive an app with no API) | Not a native concept | Gated to Pro, $99.99/mo |
| Cost predictability | Countable: count module operations | Opaque: usage multiplier tiers, size and watch |
Example, inbox triage: a solo op on Lindy Plus pays $49.99/mo (pricing) and knows the number. The same job on Make could cost a few dollars of credits if each email fires two or three module actions, or climb well past that if every message triggers a ten-step enrichment. You cannot know until you build it and watch the Reasoning panel count operations. The trade: Make is cheaper and less predictable on structured work, Lindy is pricier and more predictable on assistant work.
Example, multi-app CRM update: an agent that reads a lead email, creates an Airtable row, posts to Slack, and updates HubSpot is maybe four to six module actions per lead on Make, so a few hundred leads a month sits comfortably inside a $9 Core or $16 Pro plan (Make pricing). The same on Lindy is $49.99/mo minimum plus an opaque meter. For pure pipeline work, Make wins the cost line, and it is not close.
The decision matrix
Four common ops jobs, one flat pick each. No hedging.
| Your job | Pick | Why |
|---|---|---|
| Structured multi-app workflow (CRM sync, data pipeline, cross-tool automation) | Make | Per-operation pricing, 3,000+ apps, and the Reasoning panel to debug it |
| Inbox plus calendar plus follow-up (run my email, prep my meetings) | Lindy | The personal-assistant loop is native here; Make would need heavy scaffolding |
| Phone calls and voice agents | Lindy | Make has no voice; Lindy's the only option on this list |
| Structured workflow with one step that has no API (needs clicking through a UI) | Make for the pipeline, hand the no-API step to Lindy's computer use (Pro) | Make orchestrates; Lindy's computer use covers the app Make cannot reach |
That last quadrant is the real overlap, and it is where a lot of teams run both. Make owns the structured pipeline. When one step needs an agent to physically click through a legacy app with no API, Lindy's computer use (Pro tier, $99.99/mo per Lindy's pricing page) is the escape hatch. You are not choosing one tool; you are choosing Make as the backbone and renting Lindy for the one thing Make cannot do.
The verdict, by who you are
Solo operator or two-person shop. If your pain is a flooded inbox and back-to-back calls, Lindy Plus at $49.99/mo (pricing) is the buy. It runs the assistant loop out of the box and you know your bill. If your pain is background automation (syncing tools, moving data), Make Core at $9/mo (pricing) does more for less, and the free tier lets you prove the agent before you pay a cent. Plenty of solo ops end up with both: Make for the plumbing, Lindy for the human-facing work.
Small ops team, five to twenty people. Make Teams at $29/mo (pricing) is your automation backbone, shared across the team, with agents you can audit when someone asks why a record changed. Add one Lindy Plus or Pro seat for whoever owns inbox and calendar. That combo works for most small teams: cheap, auditable pipelines plus one real assistant seat. Do not buy Lindy for the whole team unless most of them live in email and calls.
Mid-market, twenty-plus. The question shifts to governance. Make's Reasoning panel and per-operation credit accounting give you an audit trail on every agent decision, which is the thing a mid-market ops lead has to produce when a workflow goes sideways. Lindy scales too, but its opaque usage tiers make cost forecasting harder at volume. Lead with Make for the pipeline layer; layer Lindy where the voice and assistant use cases justify the per-seat spend.
Compliance-sensitive. SSO, SCIM, HIPAA, and audit logs are Enterprise on either side. Per Lindy's pricing page, those controls live on Lindy Enterprise (custom); Make's equivalent is its Enterprise tier (pricing). Two candid cons for this buyer: Make's AI Agents still carries a "beta" label, so pressure-test agent behavior before you route regulated data through it, and Lindy's computer use touches app UIs directly, so it deserves a hard look from security first. Get both on a sales call and make them show you the controls in writing.
Setting one up: the click paths
Neither is code-first, so the "setup" is a click path, not a script. Here is the shape for each, so you can see the difference in your hands.
Make AI Agent (structured multi-app task):
1. Make dashboard > Create a new Agent
2. Name it, write the goal in plain language:
"When a new lead email arrives, add the contact to Airtable,
post to #sales in Slack, and create a HubSpot deal."
3. Add tools: Gmail (Watch emails), Airtable (Create record),
Slack (Send message), HubSpot (Create deal)
4. Run it on a test email
5. Open the Reasoning panel to watch each tool call in order,
then tighten the goal wording if it calls the wrong moduleLindy assistant (inbox triage):
1. Lindy dashboard > New Lindy > start from Inbox Manager
2. Connect Gmail or Outlook (Outlook event triggers added July 2026)
3. Describe the job:
"Draft replies to sales leads, flag anything from an existing
customer, archive newsletters."
4. Set the trigger: New email in inbox
5. Approve the first few drafts, then let it run;
move to Pro if you need computer use or hit the Plus ceilingThe tell is in step 5 of each. On Make you watch operations count on a debuggable board. On Lindy you approve an assistant's drafts and watch an opaque meter. That difference is the whole comparison in one screen. For the neighbors a technical buyer would also weigh (Zapier, n8n), see our workflow automation tools directory.
Bottom line
Make: if the job is connecting apps and running a structured, auditable process, this is the pick, and its per-operation pricing plus the Reasoning panel make it the cheaper, more debuggable choice for pipeline work.
Lindy: if the job is acting like a person on your inbox, calendar, and phone, this is the pick, and it is the only option here that takes a call, worth the higher, less predictable price for assistant work you cannot build on a canvas.