Lindy
Lindy is a platform for building AI agents that do real work across your existing tools. Each agent, a Lindy, is set up in plain language rather than code: describe the job, connect the apps it needs, such as email, calendar, a CRM or Slack, and set the rules it must follow.
Agents run on triggers rather than waiting to be asked. Typical deployments triage and draft email, schedule and reschedule meetings, prepare briefs before calls, take notes and send follow-ups, keep HubSpot or Salesforce records current and chase leads. A library of prebuilt templates covers the common jobs, so a first agent is usually assembled rather than designed.
Lindy has moved from a free-plan model to subscription tiers with a short trial, and now presents itself as an AI assistant for the whole work loop rather than a single-purpose bot. It suits people who want delegation, not another dashboard.
- Cost
- Free tier + paid plans
- Ease
- Intermediate
- Model
- Hosted service
- Checked
- July 2026
Prices, plans and model versions change fast: this is a mid-2026 snapshot; check the tool's official site for the latest.
Best for
- Delegating whole jobs such as inbox triage or meeting scheduling to an agent
- Building agents in plain language without code or flowcharts
- Keeping CRM records current from email and meeting activity
- Meeting preparation, notes and follow-ups handled end to end
- Starting from prebuilt agent templates rather than a blank canvas
Less suited to
Lindy is less suited to deterministic, high-volume pipeline automation where the same steps must execute identically every time; classic workflow tools remain the better fit there. Costs also scale with how much your agents actually do, so always-on automation deserves a look at plan allowances first.
Because agents act on real email, calendars and customer records, they also need the same onboarding care as a new assistant: clear rules, narrow scope to start, and review while trust builds.
Costs & data, in short
Usage-based pricing per agent task; light delegation is cheap, always-on agents are a running bill.
Agents hold live access to email, calendar and connected tools; grant scopes per agent, per job.
In practice
How Lindy is used, area by area.
AI agents & automation
Describing a job in plain language is a lower bar than drawing a flowchart. That is the practical difference this platform makes to somebody who wants work taken off their desk but has no intention of building a workflow: you set out what the job is, connect the tools it needs, state the rules it must follow, and the agent runs on triggers rather than waiting to be asked.
The jobs it takes on are the recognisable administrative loop. Triaging and drafting email, scheduling and rescheduling, preparing briefs before calls, taking notes and sending follow-ups, keeping customer records current, chasing leads that went quiet. Templates cover the common ones, so the first agent is usually assembled rather than designed, which is what makes the starting point cheap in effort.
It is for founders, sales people and operators whose bottleneck is administrative rather than technical, and who would rather delegate an outcome than specify every step.
Example tasks
- Delegate inbox triage and first-draft replies to an always-on agent
- Hand over meeting scheduling and rescheduling across connected calendars
- Prepare briefing notes before calls without assembling them yourself
- Keep customer records current from email and meeting activity
- Start from a template and narrow an agent's scope while trust builds
Limits
Deterministic, high-volume pipelines belong on the classic workflow platforms, where the same steps must execute identically every time and judgement is a liability rather than a feature.
Costs also scale with how much the agents actually do, so always-on delegation deserves a look at plan allowances before it runs unattended. Because agents act on real email, calendars and customer records, they need the same care as a new assistant: narrow scope to begin with, explicit rules, and review while trust is still being earned.
Productivity & personal assistant
Recurring admin is the tax on a professional's day, and Lindy takes it on. You describe a job in plain language, triage the inbox, schedule and reschedule meetings, prep a brief before a call, connect the apps it needs, and the agent runs on its own triggers rather than waiting to be asked. For a professional buried in recurring admin, that is delegation without a hire.
Agents start from templates and act across email, calendar, a CRM or Slack, so the routine parts of a day run themselves. The individual who loses hours to scheduling and inbox churn, and is ready to let an agent own those, gains the most.
Example tasks
- Hand inbox triage or scheduling to an agent that acts on its own
- Set up an agent in plain language, no flowcharts
- Prepare a briefing before every call automatically
- Keep CRM records current from email and meetings
- Start from a prebuilt agent template and adjust the rules
Limits
Lindy is less suited to deterministic, high-volume pipeline automation where the same steps must execute identically every time, which is classic workflow-tool ground. Costs scale with how much your agents run, so a heavy deployment needs sizing, and an agent acting in your name wants oversight until you trust its judgement.
Automation & agents
Lindy packages automation as employees rather than workflows. You describe a job in plain language, connect the tools it needs, and the agent triages the inbox, schedules meetings, updates the CRM or chases leads with its own judgement inside the rules you set, running on triggers and acting across connected apps rather than inside a chat window, with templates so a working agent is minutes away. The framing is the point: you delegate outcomes, not steps, which suits founders, sales teams and operators whose bottleneck is that administrative loop. Its judgement is a feature where variation is acceptable and a liability where it is not, so deterministic high-volume pipelines belong on the classic workflow tools, costs scale with how much the agents do, and new agents deserve narrow scope and review while trust builds.
Example tasks
- Triage the inbox and draft replies for review
- Schedule, reschedule and coordinate meetings across calendars
- Prepare briefs before calls and send follow-ups afterwards
- Keep HubSpot or Salesforce updated from email and meeting activity
- Run lead follow-up sequences with human checkpoints
Limits
For deterministic pipelines, bulk data jobs and integrations that must behave identically on every run, conventional automation platforms are the better tool. Agent judgement is a feature where variation is acceptable and a liability where it is not.
Give new agents a probation period. They act on live email and customer records, so start with narrow permissions and review their output before letting them run unattended. Heavy, always-on automation can also draw down plan allowances quickly, which is worth checking before you scale.
Compares
| vs | Pick Lindy when | Pick the other when |
|---|---|---|
| ZapierFull comparison → | Lindy delegates outcomes rather than steps, handing a described job to an agent that triages the inbox, schedules meetings and keeps the CRM current with its own judgement inside your rules | the pipeline must behave identically on every run, no-code trigger-and-action execution across the thousands of apps only it connects |
Where to start
Not sure what to adopt first?
Five quick questions about your job, task and constraints. We'll suggest your top three tools, plus the one to try first.
Alternatives
Same category, different strengths.
Where it fits
Explore this tool in context.
By task
Common questions
What is Lindy best at?
Lindy is strongest for delegating whole jobs such as inbox triage or meeting scheduling to an agent; building agents in plain language without code or flowcharts; keeping CRM records current from email and meeting activity; meeting preparation, notes and follow-ups handled end to end; starting from prebuilt agent templates rather than a blank canvas.
What is Lindy not good for?
Lindy is less suited to deterministic, high-volume pipeline automation where the same steps must execute identically every time; classic workflow tools remain the better fit there. Costs also scale with how much your agents actually do, so always-on automation deserves a look at plan allowances first. Because agents act on real email, calendars and customer records, they also need the same onboarding care as a new assistant: clear rules, narrow scope to start, and review while trust builds.
Is Lindy free?
There's a free tier to start; paid plans add capacity and features.
Where does Lindy fit best?
Lindy fits best in AI agents & automation and Productivity & personal assistant; see its practice notes for how.
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Last checked: July 2026