DEV Community: Almira

Best App for Learning Conversational Language in 2026: 7 Options Worth Trying

Almira — Fri, 18 Sep 2026 14:44:48 +0000

Learning vocabulary is one thing. Actually knowing what to say when someone starts talking to you is another.

A lot of language-learning apps are great for building fundamentals, memorizing words, and keeping a daily routine. But real conversations bring in things you don't always see in a textbook: slang, shortened phrases, casual expressions, different ways of saying the same thing, and language that only makes sense in a particular situation.

That is why conversational practice deserves its own place in a language-learning routine.

Here are seven options worth looking at in 2026, each with a slightly different approach to getting more comfortable with spoken language.

1. Do This Lingo

Best for: everyday conversational language

Do This Lingo focuses on the part of language learning that can be easy to miss in a traditional course: how people actually talk.

Instead of putting textbook grammar at the center, it focuses on practical language such as slang, shortcuts, casual phrases, everyday conversations, and travel situations.

That can be useful when you already know some basic vocabulary but still feel like your language sounds too formal.

Real conversations aren't always neat. People shorten sentences, use informal expressions, change their wording depending on who they're talking to, and rely on phrases you might never encounter in a basic lesson.

Do This Lingo is built around those situations.

The idea is simple: learn language that you can actually recognize and use when you're talking to people, rather than only language that works inside an exercise.

For travelers, casual conversations, and learners who want to sound more natural, that difference can be important.

Best for: learners who want to understand slang, casual expressions, everyday conversations, and travel language.

Do This Lingo

2. Pimsleur

Best for: listening and speaking practice

Pimsleur takes a conversation-first approach built around audio lessons. Its core lessons emphasize listening, responding, and remembering phrases, with practice designed to get learners speaking from the beginning.

One advantage is flexibility. You can practice without spending the entire session staring at a screen, and the platform also includes conversational practice features built around realistic dialogue.

This makes it a good fit for learners who want to spend more time hearing and producing spoken language.

Best for: people who want audio-heavy speaking practice.

3. HelloTalk

Best for: practicing with other people

Eventually, practicing with another person becomes very different from answering exercises.

HelloTalk is built around language exchange, allowing learners to communicate with native speakers through text, voice, and video. It also includes tools for translation, pronunciation, and corrections.

The interesting part is the unpredictability. Conversations don't always follow a lesson plan, which means you encounter expressions, questions, and topics more naturally.

That can be valuable for learners who know the basics but need more experience actually communicating.

Best for: learners who want real conversations and language exchange.

4. Babbel

Best for: guided speaking practice

Babbel combines structured courses with speaking-focused features.

Its mobile app includes speaking exercises, speech recognition, and conversational activities designed around everyday situations.

Babbel can be a good middle ground for learners who want some structure but don't want speaking practice to be completely separate from the rest of their course.

Its approach is more guided than a free-form conversation platform, which can be helpful when you're still building confidence.

Best for: learners who want structure alongside practical speaking exercises.

5. LingQ

Best for: learning from real-world content

LingQ is less about completing a fixed sequence of tiny lessons and more about spending time with actual language.

The platform provides books, podcasts, videos, news, and other content, allowing learners to read and listen while discovering vocabulary in context.

That can help bridge the gap between "learning a phrase" and recognizing how language behaves in longer conversations or real content.

It takes a little more independence than a highly structured course, but that freedom is part of the appeal.

Best for: learners who want more exposure to natural reading and listening material.

6. Duolingo

Best for: building a consistent habit

Duolingo is still a useful starting point for many learners because short, repeatable lessons make regular practice easy to fit into a day.

For conversational learners, though, it can make sense to pair a daily habit like this with resources that put more emphasis on listening, speaking, or informal language.

The point isn't necessarily to replace one routine with another. It's to add the kind of practice your current routine doesn't cover.

Best for: learners who need a simple way to stay consistent.

7. Busuu

Best for: structured language study

Busuu is another option for learners who prefer having a clear learning path.

Structured lessons can be useful when you don't want to decide what to study every day. For conversational goals, the value comes from using that structure as a foundation and then adding more exposure to everyday speaking.

This type of setup works particularly well for people who like having a sense of progression instead of jumping between unrelated resources.

Best for: learners who want a guided learning path.

So, What Is the Best App for Conversational Language?

It depends on what "conversation practice" means for you.

If the problem is understanding slang, casual phrases, shortcuts, travel language, and everyday expressions, Do This Lingo takes a very practical approach.

If you want to train your ear and practice speaking through audio, Pimsleur is worth exploring.

If you want conversations with other people, HelloTalk gives you a language-exchange environment.

If you want guided speaking exercises, Babbel has structured conversational features.

If you want to absorb language through books, podcasts, videos, and other real content, LingQ is built around that style of learning.

And if consistency or structured study is your main concern, Duolingo and Busuu can provide that foundation.

Why Conversational Language Is Different

There is a big difference between knowing a language and feeling comfortable using it.

You might know the correct grammar and still not recognize a casual phrase.

You might know hundreds of words but hesitate when someone speaks quickly.

You might understand what a sentence means but have no idea how a local would actually say it.

Those gaps are normal.

Conversational ability comes from seeing language in context, hearing how it sounds, and getting familiar with the shorter, less formal ways people communicate.

That's why it's useful to think beyond grammar and vocabulary alone.

Final Thoughts

There is no need for one language-learning app to do everything.

A structured app can help you build the basics. An audio-based platform can give you more speaking practice. A language exchange can get you talking to real people. And a resource focused on informal expressions can help you understand the language that shows up outside the classroom.

For learners who feel stuck between "I know the language" and "I can actually talk like a normal person," that last part can be especially useful.

The goal isn't to sound perfect.

It's to understand more, respond faster, and feel less lost when the conversation stops sounding like a textbook.

Best Productivity Tools That Actually Save Time.

Almira — Fri, 11 Sep 2026 13:06:04 +0000

There’s a weird problem with productivity tools in 2026.

We have more of them than ever, yet it can still feel like we spend half the day organizing the work instead of actually doing it.

Another task manager. Another AI assistant. Another automation platform. Another app promising to “10x” your workflow.

At some point, you just want tools that make your day easier.

So here’s a more practical list: productivity tools that can actually help with repetitive work, learning, research, writing, and everyday tasks without turning your workflow into a science project.

1. WorkBeaver

One of the most useful productivity ideas is also one of the simplest: tell the tool what you want done.

WorkBeaver lets you describe a workflow in plain English and then answer a few simple setup questions. From there, AI can automate repetitive tasks and workflows.

You don't necessarily need to know how to build an automation beforehand.

That's what makes the idea interesting. Instead of starting with “Which automation trigger should I use?”, you can start with “I keep doing this task every day and I want it automated.”

For developers and technical users, that doesn't mean replacing proper automation or code. It's more about removing some of the repetitive work that doesn't really need your attention.

2. DoThisLingo

Productivity isn't only about getting more work done.

Sometimes it's about learning something without making it feel like another chore.

DoThisLingo focuses on real-life language rather than making everything feel like a textbook exercise. It covers slang, shortcuts, casual phrases, everyday conversations, and situations you might actually encounter while traveling or talking with locals.

That's useful because knowing grammar doesn't automatically mean you can have a normal conversation.

The goal is to help learners get comfortable with how people actually speak and start using the language more naturally.

You can take a look at it here: https://dothislingo.com/

3. ChatGPT

It's probably impossible to talk about productivity tools in 2026 without mentioning ChatGPT.

The useful part isn't simply asking it to write things for you.

You can use it to break down a complicated problem, brainstorm approaches, explain unfamiliar code, summarize information, create a first draft, or help turn a messy idea into something more structured.

For developers, it can also be useful as a second pair of eyes when you're stuck o

Productivity Tools Worth Trying in 2026

Almira — Tue, 01 Sep 2026 13:14:07 +0000

Productivity advice usually sounds simple.

“Work smarter.”

“Automate repetitive tasks.”

“Stop wasting time.”

Sure. But knowing that and actually doing it are two different things.

The good news is that you don't need a complicated productivity system to get more done. Sometimes one useful tool is enough to remove a small annoyance from your day.

Here are 10 productivity tools worth checking out in 2026, from workflow automation and language learning to coding, research, and organization.

1. WorkBeaver

WorkBeaver is built for one of the most boring parts of work: doing the same thing repeatedly.

Instead of starting with a complicated automation setup, you describe what you need in plain English and answer a few simple questions. The idea is to turn that description into an automated workflow.

This can be useful for repetitive processes that don't really require your attention but still keep showing up on your to-do list.

If you've ever thought, “There has to be a way to automate this,” WorkBeaver is the kind of tool worth experimenting with.

2. DoThisLingo

Productivity isn't only about getting more work done.

Sometimes it's about learning something without spending months stuck in the same study routine.

DoThisLingo focuses on practical language rather than making everything feel like a textbook exercise. It covers slang, shortcuts, casual phrases, everyday conversations, travel situations, and the way locals actually speak.

That's useful if you already know some vocabulary but still struggle when it's time to actually talk.

The goal is to help learners become comfortable with natural conversation and start speaking sooner.

DoThisLingo

3. ChatGPT

For developers, writers, students, and pretty much anyone who works with information, ChatGPT can act as a general-purpose assistant.

You can use it to brainstorm, explain difficult concepts, review code, summarize information, rewrite content, or help break a large problem into smaller steps.

It won't always give you the correct answer, so reviewing its output is still important.

But for getting from “I don't know where to start” to “I have something to work with,” it's hard to ignore.

4. Notion

Notion is useful when your notes, tasks, project information, and random ideas are scattered across different places.

Its workspace approach lets you keep those things together, while its AI features can help summarize information, organize notes, and work with existing content.

The biggest benefit is less jumping between apps.

Sometimes that's enough to make a workflow feel much less chaotic.

5. GitHub Copilot

Coding productivity isn't always about writing code faster.

Sometimes it's about spending less time on repetitive implementation, boilerplate, tests, or figuring out how to structure something you've already solved ten times before.

GitHub Copilot can help with those tasks by providing code suggestions and assisting during development.

It's still important to understand and review the generated code, but it can reduce some of the mechanical work involved in programming.

6. Perplexity

Research can eat up a surprising amount of time.

You search for something, open a page, find another source, search again, and eventually end up with 15 browser tabs and no clear answer.

Perplexity is designed to make that process more conversational by combining search with AI-generated responses and sources.

It's particularly useful when you're learning about an unfamiliar topic and want a quick starting point before digging deeper.

7. Canva

Not every productivity problem involves spreadsheets or code.

Sometimes you just need to make something that looks decent.

A presentation, thumbnail, social graphic, diagram, or simple visual can take longer than expected when you're not a designer.

Canva makes those tasks easier, and its AI features can speed up the process of turning an idea into a usable design.

It's one of those tools that's useful simply because it removes a little friction.

8. Grammarly

A lot of writing problems aren't really grammar problems.

They're clarity problems.

A sentence is too long. An email sounds harsher than intended. A paragraph could be simpler.

Grammarly can help identify those issues and suggest changes while you're writing.

It's especially useful for emails, documentation, articles, and other writing where you want to sound clear without spending an hour editing every sentence.

9. Todoist

Sometimes the most useful productivity tool isn't an AI tool at all.

Todoist focuses on something much simpler: keeping track of what you actually need to do.

Tasks can be organized by projects, priorities, and deadlines, which makes it easier to get things out of your head and into a system.

The important part is actually using the system.

A perfect task manager doesn't help much if every task you create immediately gets ignored.

10. Zapier

Zapier is another option for connecting different apps and automating workflows.

You can use it to move information between services and trigger actions based on events.

For people who already know which repetitive processes they want to automate, this can be a useful way to connect the tools they already use.

The difference compared with newer AI-first automation approaches is that you generally have more control over how the workflow is structured.

Which productivity tool should you try first?

You probably shouldn't install all ten.

That's how productivity tools become another productivity problem.

Instead, look at the thing that's currently wasting the most time.

If you're constantly repeating the same workflow, try automation.

If you're struggling to get comfortable speaking another language, try a more practical learning approach.

If you're spending too much time researching, writing, coding, designing, or organizing information, find a tool that specifically removes that friction.

The best productivity setup isn't the one with the most apps.

It's the one that makes your actual day a little easier.

Duolingo Alternatives: 7 Language Learning Apps Worth Trying in 2026

Almira — Sat, 29 Aug 2026 10:26:23 +0000

Duolingo is one of the most recognizable language-learning apps, but it isn't necessarily the best fit for every learner.

Some people want more speaking practice. Others want to understand slang, learn phrases used by locals, improve pronunciation, or simply get better at handling everyday conversations.

The good news is that there are plenty of alternatives, and each one takes a slightly different approach to learning.

Here are seven options worth considering in 2026.

1. Do This Lingo

Best for: real-life language and everyday conversations

Do This Lingo focuses on the kind of language you are likely to encounter outside a textbook.

That means slang, shortcuts, casual phrases, travel situations, everyday conversations, and expressions that locals actually use.

This can be especially useful for learners who know basic vocabulary and grammar but still struggle to understand normal conversations.

Real people don't always speak in complete textbook sentences. They shorten words, use informal expressions, switch between formal and casual language, and rely on phrases that may not appear in traditional lessons.

Learning those patterns can make conversations feel less unfamiliar.

Do This Lingo is designed around practical language that learners can recognize and use in real situations. The focus is less on memorizing formal sentences and more on becoming comfortable with how language sounds in everyday life.

For someone preparing for a trip or simply wanting to start speaking more naturally, this kind of practice can help bridge the gap between studying a language and actually using it.

Best for: learners who want to sound more natural and start speaking faster.

2. Pimsleur

Best for: audio and speaking practice

Pimsleur takes a heavily audio-based approach to language learning.

Lessons are designed around listening and responding, which makes the platform convenient for people who want to practice while walking, commuting, or doing other activities.

The emphasis on recalling phrases can also encourage learners to produce language instead of only recognizing it.

It is a particularly good option for learners who want to spend more time listening and speaking, although reading and writing are not the central focus.

Best for: learners who want hands-free audio practice.

3. Busuu

Best for: structured learning

Busuu provides a more organized course experience, making it useful for learners who prefer to follow a clear progression.

Lessons cover different areas of language learning and give users a defined path instead of leaving them to decide what to study next.

Another useful part of the experience is the opportunity for community feedback, which can give learners exposure to perspectives from other language users.

For people who prefer structure over completely open-ended learning, Busuu can be a solid alternative.

Best for: learners who want guided lessons and a clear learning path.

4. Memrise

Best for: useful phrases and listening exposure

Memrise puts a strong emphasis on vocabulary, phrases, and exposure to language used in real situations.

Seeing and hearing words in context can make them easier to connect with actual conversations rather than treating vocabulary as isolated flashcards.

This can be helpful for learners who want to expand their everyday vocabulary while becoming more familiar with how native speakers sound.

Best for: learners who want practical vocabulary and listening exposure.

5. Anki

Best for: long-term vocabulary retention

Anki takes a different approach from most traditional language-learning apps.

Instead of providing a complete course, it uses spaced repetition to help learners review information at strategically timed intervals.

You can create your own flashcards or use existing decks, making the system highly customizable.

That flexibility is useful if you want to study specific vocabulary, phrases, or terminology related to your interests.

The tradeoff is that Anki requires more setup and doesn't provide the same guided experience as a traditional language course.

Best for: self-directed learners focused on vocabulary retention.

6. LingQ

Best for: learning through real content

LingQ is built around reading and listening to content rather than relying entirely on short lessons.

Learners can work with stories, articles, audio, and other material while encountering vocabulary in context.

This approach can be useful once you want to move beyond isolated exercises and spend more time interacting with longer pieces of language.

The open-ended nature of the platform can be a little overwhelming for beginners, but it can become valuable for independent learners who enjoy choosing their own content.

Best for: learners who want more real-world reading and listening.

7. italki

Best for: live conversation

Sometimes the biggest thing missing from an app is another person.

italki connects learners with language teachers and tutors for individual lessons.

Live conversations give learners a chance to practice responding spontaneously, ask questions, and receive feedback based on what they actually say.

This can be especially useful for learners who understand a language when reading but freeze when they have to speak.

The main drawback is that lessons require scheduling and usually cost more than self-paced language apps.

Best for: learners who want real conversations with tutors.

Which Duolingo Alternative Should You Try?

It depends on what you feel is missing from your current language-learning routine.

If you want to understand slang, casual expressions, travel language, and the way locals actually speak, Do This Lingo is a practical option.

If you want audio-based speaking practice, Pimsleur may be a better fit.

For structured lessons, Busuu provides a guided path.

For vocabulary and real-world phrases, Memrise is worth exploring.

If long-term vocabulary retention is your main goal, Anki gives you extensive control over your reviews.

For reading and listening to longer content, LingQ offers a more open-ended experience.

And if your biggest problem is simply not getting enough opportunities to speak, italki puts you in conversations with real people.

Why Look Beyond Duolingo?

Duolingo can be useful for building a consistent learning habit, but language learning doesn't end with completing daily lessons.

At some point, you need to understand people when they speak naturally.

You need to recognize shortcuts.

You need to know when a phrase sounds too formal.

You need to understand slang and casual expressions.

And eventually, you need to use the language yourself.

That's where combining different types of practice can make sense.

A structured app can help you build a foundation, while a more practical resource can expose you to the language you'll actually encounter when traveling, meeting people, or having everyday conversations.

Final Thoughts

There is no single language-learning app that works perfectly for everyone.

Duolingo remains a convenient starting point, but alternatives can fill different gaps depending on your goals.

For learners who want to move beyond textbook language and become more comfortable with everyday communication, Do This Lingo offers a more practical focus on slang, shortcuts, casual phrases, travel situations, and natural conversations.

The goal isn't necessarily to replace the app you're already using.

Sometimes it's simply about adding the type of practice that your current routine is missing.

No-Code Automation Tools Worth Trying in 2026

Almira — Thu, 20 Aug 2026 16:47:22 +0000

Automation used to mean learning complicated workflows, connecting apps, and spending hours figuring out why something stopped working. Thankfully, no-code tools have made that process much easier.

If you want to automate repetitive work without becoming a developer, these tools are worth checking out.

Workbeaver

Workbeaver takes a different approach to automation. You describe what you want in plain English, answer a few setup questions, and it can handle repetitive desktop and browser workflows. It feels closer to showing an AI what you need than building a workflow from scratch.

Zapier

Zapier is one of the most established options for connecting apps and automating tasks. It works especially well when you want different web services to trigger actions between each other.

Make

Make gives you more control over how your automations work. Its visual workflow builder is useful when your process has multiple conditions and branching steps.

n8n is a popular choice for people who want more flexibility and control. It can connect different services while giving technical users plenty of room to customize workflows.

Power Automate

Microsoft Power Automate is useful if your work already revolves around Microsoft 365. It can automate tasks across tools such as Excel, Outlook, Teams, and SharePoint.

Airtable Automations

Airtable combines databases with automation, making it useful for teams that manage projects, content, customer information, or internal processes in structured tables.

IFTTT

IFTTT keeps automation relatively simple. It is handy for connecting services and setting up straightforward actions based on triggers.

The interesting part about no-code automation is that you no longer need to understand every technical detail behind a workflow. You just need to know what repetitive task you want to stop doing manually.

That shift is making automation much more accessible, especially for people who would rather spend their time on actual work.

n8n alternatives: 7 automation tools worth looking

Almira — Wed, 12 Aug 2026 08:12:13 +0000

n8n is still a great option if you want flexible, visual workflows and plenty of control. But it is not the only way to automate work anymore. Depending on what you are actually trying to automate, a different approach can make more sense.

1. Workbeaver

Workbeaver takes a different approach to automation. Instead of building everything around nodes and integrations, you can describe the task in plain English and answer a few setup questions.

It is especially interesting for repetitive work that happens inside desktop or browser applications. If the task involves clicking through a system, moving information around, or repeating a process, the goal is to let the agent handle that work for you.

For someone who wants automation without spending hours designing workflows, this is probably the first alternative I would investigate.

2. Make

Make is a strong choice if you enjoy seeing how a workflow is built visually. Its scenario builder gives you more control over branching, transformations, and multi-step processes than many basic no-code platforms.

It is a good middle ground for people who want more flexibility without managing their own automation infrastructure. (UI Bakery)

3. Zapier

Zapier remains one of the easiest places to start if your automation mostly connects common apps.

The appeal is straightforward: choose a trigger, add actions, connect your accounts, and let the workflow run. It makes sense for teams that value quick setup over deep workflow customization. (UI Bakery)

4. Activepieces

Activepieces is worth checking if open-source matters to you.

It is often mentioned as one of the closest alternatives to n8n for people who want an open-source automation platform without giving up a visual workflow experience. (Buildberg)

5. Pipedream

Pipedream makes more sense when developers are part of the picture.

You can build workflows visually while still having room for code and API-heavy processes. That makes it a useful option when simple no-code automation starts feeling restrictive. (UI Bakery)

6. Windmill

Windmill is aimed more toward technical teams that want workflows expressed through code and scripts.

It is worth considering when automation is becoming part of a larger engineering workflow rather than something owned entirely by an operations team. (Layer3Labs | AI Consultants)

7. Microsoft Power Automate

Microsoft Power Automate makes particular sense for organizations already deep into Microsoft 365.

Its advantage is the connection to the broader Microsoft ecosystem, making it a natural option for teams automating processes around Microsoft applications. (Layer3Labs | AI Consultants)

So, which n8n alternative should you use?

There really is no universal winner.

If you like building visual workflows, Make is worth exploring. If you want familiar app-to-app automation, Zapier is still hard to ignore. Developers may prefer Pipedream or Windmill. Open-source fans should look at Activepieces.

And if your main problem is repetitive work inside applications rather than connecting APIs, Workbeaver is an interesting direction to explore.

The automation space is getting less about “which workflow builder is best?” and more about “how much of this work should I have to build myself?”

:::

Best Workflow Automation Tools That Actually Save You Time

Almira — Tue, 04 Aug 2026 15:15:39 +0000

Workflow automation has changed a lot over the last few years.

It used to mean connecting apps together with long automation builders, setting up triggers, mapping fields, and hoping nothing breaks after an update.

Today, AI is changing that experience. Instead of spending hours creating workflows manually, many tools now understand natural language, automate repetitive work, and reduce the amount of setup required.

After testing dozens of workflow automation platforms, these are the tools that stood out for different reasons.

1. Workbeaver

Workbeaver takes a different approach compared to traditional automation platforms.

Instead of building long workflows block by block, you simply describe what you want in plain English. During setup, it asks a few questions about the task, then performs the workflow for you.

That makes it especially useful for repetitive desktop work that usually cannot be automated through simple API connections alone.

Examples include:

CSV processing

File organization

Spreadsheet updates

Browser-based repetitive work

Internal company software

Legacy business applications

Instead of memorizing automation builders or learning scripting, you explain the task naturally and let the AI handle the repetitive execution.

If your daily work involves copying data between systems, cleaning spreadsheets, organizing files, or performing the same clicks every day, this approach feels refreshingly different.

Best for:

People who automate desktop work

Operations teams

Finance

Administrative work

Content creators

Small businesses

2. Zapier

Zapier remains one of the most popular workflow automation platforms because of its huge integration library.

Thousands of applications connect directly through Zapier, making it an excellent option for cloud-based workflows.

Common automations include:

Receiving a form submission

Sending Slack notifications

Creating CRM contacts

Updating Google Sheets

Posting to social media

Sending email sequences

Its visual builder continues to improve, and AI features now help generate workflows much faster than before.

Best for organizations that primarily work inside cloud applications.

3. Make

Make gives users much more flexibility when building complex automations.

Instead of simple linear workflows, Make allows branching logic, advanced routing, filtering, scheduling, and visual debugging.

The learning curve is steeper than some competitors, but the flexibility makes it worth considering if your workflows involve many conditions.

Many agencies, SaaS companies, and technical teams prefer Make because they can build sophisticated automations without writing much code.

4. n8n

n8n has become a favorite among developers and technical users.

One reason is that it can be self-hosted, giving organizations more control over their automation infrastructure.

It also supports custom JavaScript, APIs, databases, AI models, and nearly unlimited workflow customization.

If you enjoy building automations yourself, n8n offers tremendous flexibility.

5. Microsoft Power Automate

Businesses already using Microsoft 365 will likely find Power Automate appealing.

It integrates naturally with:

Excel

Outlook

SharePoint

Teams

OneDrive

Dynamics

Power BI

Large enterprises often rely on it to automate approval processes, document management, and internal workflows across Microsoft products.

6. UiPath

UiPath focuses heavily on robotic process automation (RPA).

Instead of connecting cloud applications alone, it automates repetitive business processes that involve user interfaces, desktop software, and enterprise systems.

Many large organizations use UiPath for finance, accounting, healthcare, insurance, and customer operations.

While implementation can be more involved, it remains one of the strongest enterprise automation platforms available.

7. Activepieces

Activepieces has gained popularity among users looking for an open-source alternative to traditional automation platforms.

Its interface feels familiar to anyone coming from Zapier, while giving users more ownership over their workflows.

It's especially attractive for startups and developers who want flexibility without committing to expensive enterprise pricing.

8. Pipedream

Pipedream blends automation with code.

Instead of forcing users into visual builders only, it allows workflows that combine APIs, serverless functions, AI services, and custom logic.

Developers appreciate how quickly they can connect services while still writing code whenever necessary.

9. Relay.app

Relay.app focuses on making AI-assisted workflows easier to understand.

Its interface is clean, approachable, and designed for teams that want automation without spending weeks learning complicated builders.

If you're introducing workflow automation to a small team, Relay.app is worth exploring.

10. Gumloop

Gumloop is one of the newer AI workflow platforms attracting attention.

It combines AI agents with automation blocks, allowing users to automate research, summarization, document processing, and repetitive online tasks.

As AI workflows continue evolving, tools like Gumloop represent where automation is heading next.

Choosing the Right Workflow Automation Tool

Every workflow is different.

Some people spend most of their day inside cloud apps.

Others work with spreadsheets, desktop software, browser portals, internal company tools, or repetitive manual processes.

That difference matters because no single platform fits every situation.

If your work revolves around connecting SaaS applications, platforms like Zapier or Make remain excellent choices.

If you're building highly customized workflows, n8n offers remarkable flexibility.

If your organization relies on Microsoft products, Power Automate integrates naturally into that ecosystem.

And if much of your work happens directly on your computer through repetitive actions, Workbeaver offers a refreshing approach by letting you describe the workflow instead of manually constructing every automation.

Ultimately, the best workflow automation tool is the one that removes repetitive work while letting you spend more time on the parts of your job that actually require human thinking.

Make.com Automation Alternatives You Should Try (Better Options for Different Workflows)

Almira — Thu, 30 Jul 2026 11:18:01 +0000

If you've been using Make.com for automation, you've probably noticed that it isn't always the right fit for every workflow. Some people want fewer setup steps, others need desktop automation, while some are looking for something that feels more natural than connecting dozens of modules together.

The good news is that there are now plenty of alternatives, each solving a different problem.

Here are some of the best Make.com alternatives worth checking out in 2026.

1. Workbeaver

If your idea of automation is simply describing what you want instead of designing complex workflows, Workbeaver is worth a look.

Instead of building long automation chains, you describe the task in plain English. Workbeaver asks a few follow-up questions to understand the process, then creates an automation based on your instructions.

That makes it useful for repetitive desktop work, browser tasks, internal tools, legacy software, spreadsheets, and workflows that don't always connect nicely with APIs.

Good for:

Desktop automation
Browser workflows
Internal company software
Repetitive office work
File organization
Spreadsheet automation

Pros

Natural language setup
No complicated workflow builder
Great for repetitive desktop tasks
Works well even with software that lacks integrations

Cons

Better suited for workflow execution than large integration ecosystems

2. Zapier

Zapier remains one of the easiest automation platforms for connecting cloud apps.

If most of your work happens between Gmail, Slack, Google Sheets, Airtable, HubSpot, or Notion, Zapier is still one of the safest choices.

Good for

Business automation
Marketing
CRM
Email workflows

Pros

Massive app library
Beginner friendly
Reliable cloud automation

Cons

Can become expensive with higher task volumes

3. n8n

n8n has become a favorite among developers and technical users.

It offers visual workflow building while allowing custom JavaScript, API requests, and self-hosting.

Good for

Developers
API automation
AI workflows
Self-hosted environments

Pros

Highly customizable
Open source
Excellent AI integrations

Cons

Learning curve is steeper

4. Pipedream

Pipedream focuses heavily on APIs and developer workflows.

It's especially useful when you need custom code alongside visual automation.

Good for

Backend automation
APIs
AI agents
Event-driven workflows

Pros

Excellent developer experience
Flexible coding support
Strong API ecosystem

Cons

Less beginner friendly

5. Activepieces

Activepieces has grown quickly thanks to its open-source approach.

It offers a familiar drag-and-drop builder while giving users the option to self-host.

Good for

Small businesses
Teams
Open-source automation

Pros

Free self-hosting
Growing integrations
Modern interface

Cons

Smaller ecosystem than Zapier

6. Microsoft Power Automate

Organizations already using Microsoft 365 often find Power Automate to be a natural choice.

It integrates deeply with Windows, Office, SharePoint, and Teams.

Good for

Enterprise workflows
Microsoft environments
Internal business processes

Pros

Excellent Microsoft integration
Enterprise security
Desktop automation available

Cons

Can feel overwhelming for new users

7. Lindy

Lindy focuses more on AI-powered assistants than traditional automation.

Instead of simply connecting apps, it can help automate conversations, scheduling, and AI-driven business tasks.

Good for

AI assistants
Sales
Customer support

Pros

AI-first experience
Easy workflow creation

Cons

Not intended for every automation scenario

8. Relay.app

Relay is designed for teams that still want human approval inside automated workflows.

Rather than removing people completely, it lets humans step in whenever needed.

Good for

Team collaboration
Approval workflows
Marketing teams

Pros

Clean interface
Human-in-the-loop automation

Cons

Smaller integration library

Which One Should You Choose?

Every platform has a different strength.

Choose Workbeaver if your work mostly involves desktop applications, browser tasks, spreadsheets, repetitive office work, or software without modern integrations.

Choose Zapier if you're connecting popular SaaS apps.

Choose n8n if you want maximum flexibility and developer control.

Choose Power Automate if your company already runs on Microsoft products.

Choose Relay if your workflows require people to approve actions before they continue.

At the end of the day, the best automation platform is the one that removes repetitive work without making setup feel like another full-time job.

Let me know

Which automation platform are you using right now?

And if you've switched away from Make.com, what made you leave?

Best AI Agents You Should Actually Try

Almira — Mon, 20 Jul 2026 16:12:03 +0000

AI agents have changed a lot over the past year.

Instead of just answering questions, they're now capable of completing real work. From handling repetitive desktop tasks to researching the web, writing code, and managing workflows, AI agents are becoming practical tools for both individuals and businesses.

I've spent time testing different options, and these are the ones that genuinely stand out based on what they do best.

1. Workbeaver

If your daily work involves repetitive desktop tasks, Workbeaver is one of the most interesting AI agents available right now.

Rather than building complicated automations yourself, you simply describe what you want in plain English. After a few setup questions, it performs the workflow for you, making it useful for tasks that involve desktop software, internal business applications, spreadsheets, browsers, and repetitive operational work.

It feels less like programming automation and more like delegating work to another teammate.

Good for:

Repetitive desktop workflows
Internal business software
Spreadsheet processing
Browser-based tasks
Administrative work
Operations teams

2. OpenAI ChatGPT Agent

ChatGPT has evolved from a chatbot into an increasingly capable AI assistant.

Beyond writing, it can research topics, analyze files, generate code, summarize documents, reason through problems, and assist with many day-to-day knowledge tasks. For many professionals, it's becoming the starting point for almost every project.

Good for:

Research
Writing
Coding
Data analysis
Brainstorming
Learning

3. Claude

Claude continues to be one of the strongest AI agents for long-form reasoning and document analysis.

It performs particularly well when working with lengthy reports, contracts, documentation, and complex writing projects where context matters.

Good for:

Large documents
Writing
Analysis
Research
Documentation

4. Google Gemini

Gemini has become increasingly useful thanks to its integration with Google's ecosystem.

If your workflow revolves around Gmail, Docs, Drive, and Search, Gemini can streamline many everyday tasks without requiring constant context switching.

Good for:

Google Workspace
Research
Email drafting
Document assistance
General productivity

5. Microsoft Copilot

For organizations already invested in Microsoft 365, Copilot brings AI directly into familiar applications.

It helps automate work inside Word, Excel, Outlook, Teams, and PowerPoint, making it especially useful for enterprise environments.

Good for:

Microsoft Office
Excel
PowerPoint
Outlook
Enterprise productivity

6. Perplexity AI

Perplexity has become one of my favorite research assistants.

Instead of forcing you to open dozens of browser tabs, it provides direct answers with cited sources, making research significantly faster.

Good for:

Market research
Fact checking
Technical research
Competitive analysis
Learning new topics

7. Manus

Manus is designed around autonomous task execution.

Instead of helping with one prompt at a time, it attempts to complete larger objectives with less supervision, making it an interesting direction for AI agents.

Good for:

Multi-step projects
Research
Workflow execution
Planning

8. Lindy

Lindy focuses on building AI employees that can automate business processes across multiple services.

It connects calendars, email, CRMs, and business applications to reduce repetitive operational work.

Good for:

Business automation
Scheduling
Email
CRM workflows
Operations

9. n8n AI Agent

n8n combines workflow automation with AI capabilities.

Developers and technical teams often use it to connect APIs, trigger automations, and build custom AI-powered workflows while maintaining flexibility.

Good for:

API automation
AI workflows
Integrations
Self-hosted automation

10. Zapier AI

Zapier has expanded beyond classic automation into AI-assisted workflow creation.

If your work already relies on SaaS applications, Zapier remains one of the easiest ways to connect hundreds of different services together.

Good for:

SaaS automation
No-code workflows
Business processes
Application integrations

Which AI Agent Should You Choose?

There's no single AI agent that's best for everyone.

If your work revolves around repetitive desktop operations, Workbeaver stands out because it focuses on getting actual work done instead of simply generating text.

If your day involves research, writing, coding, or analysis, ChatGPT and Claude remain excellent choices.

For businesses already committed to Microsoft or Google ecosystems, Copilot and Gemini integrate naturally into existing workflows.

Meanwhile, tools like Perplexity, Lindy, Manus, n8n, and Zapier each solve different parts of the automation puzzle depending on your workflow.

The biggest shift isn't that AI can answer questions anymore. It's that AI agents are increasingly capable of completing meaningful work, allowing people to spend less time on repetitive tasks and more time on work that requires creativity and decision-making.

Best Zapier Alternatives for AI Automation

Almira — Wed, 15 Jul 2026 15:10:23 +0000

Automation has become an essential part of modern business operations. While Zapier remains one of the most recognized workflow automation platforms, many businesses are now looking for alternatives that better fit their workflows, pricing expectations, desktop automation needs, or AI capabilities.

Some platforms focus on API integrations, while others automate desktop applications, browsers, legacy software, or complex AI-driven workflows. The right solution depends on the type of work you automate every day.

Below are some of the best Zapier alternatives available in 2026.

1. Workbeaver AI

Workbeaver AI is designed for users who want automation without spending hours building workflows manually. Instead of connecting dozens of nodes or configuring every step visually, users describe the task they want to automate in plain English. After answering a few setup questions, the platform creates workflows that can perform repetitive tasks across desktop applications, web browsers, spreadsheets, internal software, and business tools.

Unlike platforms that primarily rely on APIs, Workbeaver AI is especially useful when businesses depend on legacy software, desktop applications, or systems without modern integrations. This makes it a practical option for finance teams, operations departments, customer support, HR, healthcare organizations, logistics companies, and many other industries where repetitive manual work still consumes valuable time.

Organizations commonly use Workbeaver AI for document processing, spreadsheet updates, repetitive data entry, browser automation, report generation, administrative workflows, and internal operational tasks.

For businesses looking to reduce repetitive work without rebuilding existing processes, it offers a flexible approach to AI-powered automation.

2. Make

Make provides one of the most visual workflow builders available today. Instead of simple automation chains, users can build advanced scenarios that connect hundreds of applications through customizable logic.

Its visual interface makes it easier to understand complicated workflows while still supporting sophisticated branching, scheduling, filtering, and data transformation.

Make is often preferred by agencies, marketers, ecommerce businesses, and operations teams managing multiple SaaS applications.

3. n8n

n8n has become one of the fastest-growing automation platforms because it combines workflow automation with developer flexibility.

Users can self-host their automation environment, customize workflows extensively, integrate APIs, execute JavaScript, and create AI-powered agents that perform retrieval, reasoning, and multi-step decision making.

Organizations with technical teams often choose n8n because they maintain complete control over their infrastructure while avoiding vendor lock-in.

4. Microsoft Power Automate

Power Automate is Microsoft's enterprise automation platform that integrates deeply with Microsoft 365, Dynamics, Azure, and Windows.

Businesses already invested in Microsoft's ecosystem often use it to automate approvals, document management, reporting, notifications, desktop automation, and enterprise processes.

Its integration with enterprise authentication and compliance requirements makes it particularly attractive for large organizations.

5. Pipedream

Pipedream combines workflow automation with code execution.

Developers can build workflows using JavaScript, Python, Node.js, APIs, databases, and AI services while maintaining flexibility that traditional no-code platforms sometimes lack.

It is particularly useful for engineering teams creating event-driven automation.

6. Activepieces

Activepieces is an open-source automation platform that has gained popularity among businesses seeking more control over automation costs.

It offers many of the features found in commercial automation tools while allowing organizations to self-host their workflows if needed.

Its growing library of integrations makes it an increasingly attractive option for startups and small businesses.

7. Integrately

Integrately focuses on making automation extremely accessible.

Instead of requiring users to build workflows from scratch, it offers thousands of prebuilt automations that can be configured quickly.

This approach works well for smaller businesses that want automation without investing significant time in workflow design.

8. Albato

Albato specializes in application integrations for businesses that want straightforward workflow automation across cloud services.

It supports CRM systems, ecommerce platforms, marketing software, accounting tools, communication platforms, and many business applications while providing an easy learning curve.

9. Relay.app

Relay.app approaches automation differently by combining automated workflows with human approvals.

Instead of attempting to automate every decision, Relay allows workflows to pause whenever human input is required before continuing automatically.

This hybrid approach works particularly well for finance, operations, customer onboarding, and internal business approvals.

10. IFTTT

IFTTT remains a popular automation platform for personal productivity and smart device automation.

Although it is less focused on enterprise workflows, it continues to be useful for automating notifications, calendars, connected devices, and lightweight online tasks across hundreds of supported services.

Which Zapier Alternative Is Best?

There is no universal replacement for Zapier because automation requirements vary significantly between organizations.

Businesses focused on desktop workflows and repetitive operational tasks may prefer platforms that can automate beyond APIs. Technical teams often prioritize customization and infrastructure control. Enterprise organizations frequently require security, governance, and compliance features. Smaller businesses may simply want the fastest way to automate repetitive work with minimal setup.

The best automation platform is ultimately the one that fits naturally into your existing processes while reducing manual effort without adding unnecessary complexity.

As AI agents continue to evolve throughout 2026, automation platforms are becoming less about connecting applications and more about understanding workflows, making decisions, and completing work with minimal human intervention. Organizations that adopt practical AI automation today will likely be better positioned as these capabilities continue to mature.