Comet Browser vs Fellou in 2026: Better Research or Deeper Automation?

I choose Comet when the quality of the answer depends on knowing where it came from. Its useful loop is simple: search, inspect sources, ask a follow-up, open the relevant pages, and let Assistant help with a bounded action. That rhythm works for vendor research, policy checks, market scans, and any assignment where I expect somebody to ask, "What supports this?"

I choose Fellou when the assignment is less about reading and more about delegation. It wants to search across services, use logged-in context, continue through several steps, schedule work, and produce a result while I do something else. That is more ambitious than Comet. It also creates more ways for a task to spend credits, hit a website barrier, misunderstand a finish line, or touch an account I did not intend to expose.

For most people, Comet is the safer first choice because its best feature is easier to evaluate. I can inspect citations and decide whether the answer is good. Fellou makes more sense for experienced automation users who already know how to break a workflow into recoverable steps and monitor the first several runs.

The phrase agentic browser makes these products sound like close substitutes. They are not. Comet begins with Perplexity. Research, citations, follow-up questions, page context, and Spaces shape the product. Assistant adds action to that research environment.

Fellou begins with Deep Action. Research is one stage in a larger job that may involve several sites, a connected account, a report, an exported file, a schedule, or another application. Its value appears when the workflow continues after the answer.

That difference changes how I test them. With Comet, I judge source quality, missed context, browser usefulness, and whether an action saves clicks. With Fellou, I also judge permission scope, recovery after failure, task cost, background behavior, and whether the final state matches what I meant.

The table is not a feature-count contest. Fellou can look stronger because it promises more categories of action. Comet can look narrower because its product story is built around research. The useful question is which failure would cost me more: an answer I cannot verify, or an automated workflow I have to unwind.

For client research, purchasing decisions, fact checks, and unfamiliar subjects, I would rather have Comet's evidence loop. For a recurring workflow that gathers public information, organizes it, and sends a recoverable output to another tool, Fellou is the more interesting test.

Comet has the easier daily transition for me. It is Chromium-based, supports most Chrome extensions, and includes familiar browser machinery such as bookmarks and translation. I can use it conventionally, then bring Assistant into the page when I need help.

That matters because most browsing is boring. I open a dashboard, check a document, read a support page, and move on. A browser should not force every small action through an agent. Comet lets the AI remain close without making it the only way to work.

Fellou is more compelling when I arrive with a job description rather than a destination. Instead of asking me to open five sites and stitch the result together, it wants the task, the services, and enough permission to continue. The product page emphasizes automated web action, deep search, real-time intervention, and workflows that can cross public and logged-in sources.

I would not make Fellou my default browser on day one. I would make it a dedicated workbench. A separate profile, a small set of accounts, and tasks with an obvious finish line give me a way to learn what it can do without handing it my entire online life.

My research workflow is rarely just a search box. I need to understand a question, discover the vocabulary experts use, open primary sources, compare dates, and preserve enough evidence to explain the result later. Comet fits that sequence because Perplexity search and citations are not an extra panel. They are the starting point.

Current-page context is another practical advantage. When I am already reading a pricing page, help article, or dense report, I can ask a focused question about that material instead of reconstructing the subject in a separate agent. Spaces also give repeated research a home, which matters when a project lasts longer than one afternoon.

Fellou's deep search is broader in ambition. Its official material describes multi-source research that can include logged-in services such as Reddit and can turn findings into a traceable report. That is attractive when discovery spans places a conventional search engine cannot see.

Still, breadth does not replace source judgment. I want to know whether the report distinguishes a vendor claim from independent evidence, whether it preserves dates, and whether it shows enough context for me to spot a bad inference. I would use Fellou to gather and organize. I would still verify the claims that drive money, policy, or client advice.

Comet Assistant can work with the page and browser context in front of me. That makes it useful for tasks such as collecting details from several tabs, filling a low-risk form, organizing research, or moving through a known sequence. I like that the work remains visible and close to the source.

Fellou is designed for a longer chain. It advertises browser use, computer use, scheduled tasks, concurrent work, and agents for images, music, and code. The product is trying to become a general execution layer rather than a clever helper inside one page.

The extra reach is useful only when I define the job well. "Research competitors" is a bad task. "Find the current pricing pages for these eight vendors, record the annual entry price and plan date in this sheet, flag missing prices, and stop before sending anything" is much better.

I also add approval points before irreversible actions. Sending mail, publishing content, changing a subscription, deleting a record, or submitting personal data stays manual. A background agent can draft and prepare. It does not get to surprise me.

Comet's privacy documentation gives me a concrete baseline. It says browsing history, the full list of open tabs, cookies, passwords, autofill data, local files, and text typed on websites are not accessed or uploaded by default. Relevant context may be sent when an Assistant request needs it.

That is not the same as saying every agent request is private. If I ask an assistant to read a page, use a tab, or complete a task, the request needs some context. My job is to understand which context I am deliberately providing and whether the account behind the page is appropriate for automation.

Fellou's promise naturally asks for more. Logged-in research, cross-platform work, memory, schedules, and background execution become more useful as I connect more services. They also increase the blast radius of a bad instruction, a compromised session, or a simple misunderstanding.

My rule is boring and effective: no primary password vault, no banking, no government identity, no production administration, and no client account whose mistakes cannot be reversed. I use separate browser profiles and low-risk credentials. Convenience is not a reason to remove every boundary.

On July 27, 2026, Fellou listed Free at $0 with a 1,000-Spark new-user bonus and about four tasks. Plus was $19.90 per month with 2,000 Sparks and about eight tasks. Pro was $39.90 with 5,000 Sparks and about twenty tasks. Ultra was $199.90 with limited-time unlimited Sparks and unlimited scheduled tasks. Annual billing showed a 20% saving.

Those approximate task counts are the part I pay attention to. A task is not a stable unit of work. One clean lookup and one multi-site workflow with retries may both be called tasks while consuming very different time and value. I do not estimate Fellou from the headline plan alone.

I run one repeatable job five times. I record Sparks used, duration, failed steps, manual corrections, and whether the output was actually usable. Then I compare the cost with the minutes saved. If the workflow needs constant rescue, cheap Sparks are still expensive.

Comet's economics are tied to the current Perplexity plan and usage rules, which can also change. The decision is easier for me when Comet replaces research time I already spend. Fellou needs a clearer automation payoff because its value depends on both execution and a credit budget.

Comet is the easier recommendation for a consultant, analyst, researcher, student, product manager, buyer, or journalist who needs to move quickly without losing the trail of evidence.

Fellou is the more interesting choice for an operations-minded founder, automation builder, recruiter, growth researcher, or independent operator who repeats the same cross-site work and can tolerate an early product.

Neither is a good fit for a team that needs mature audit controls, deterministic execution, formal support guarantees, and zero ambiguity about where sensitive information travels. In that environment, I would test narrowly and keep important actions inside approved enterprise systems.

The discussion volume is still too small for a popularity verdict. I use it to identify what deserves a test. Comet needs a direct agency test: can it complete the task without repeated nudging? Fellou needs a trust and budget test: can it complete the task without surprising permissions, unstable site behavior, or unclear Spark consumption?

A repeated complaint about credit-based AI is not just price sensitivity. Credits make experimentation feel risky because users do not know whether a failed run was their fault, the site's fault, or the agent's fault. A product can reduce that anxiety with transparent task logs, predictable retries, and clear cost estimates. Until then, I budget for learning waste.

A Chromium import can make the first hour look successful. That is only the surface. The valuable parts of an AI browser are saved research, prompt habits, approval rules, connected accounts, task recipes, and the judgment I have built about when the assistant can be trusted.

The migration from Comet to Fellou is therefore not mainly technical. I have to translate a research habit into executable steps. The migration in the other direction means deciding where scheduled actions will go and whether I am willing to do more of the workflow manually in exchange for a tighter evidence loop.

I keep the old browser available for at least two weeks. I do not delete the profile, cancel the plan, or move every recurring task on the first successful run. A reversible switch costs less than an enthusiastic one.

My winner is Comet when the score is dominated by source quality, research speed, browser polish, and control. My winner is Fellou when it completes the full workflow reliably enough to justify the extra permissions and Spark budget.

The hybrid setup often wins. Comet becomes my daily evidence engine. Fellou becomes a contained automation lab. That is not paying twice for the same tool. It is separating a research job from an execution job.