Aye Teachable AI Browser Pipeline

Aye teachable AI browser pipeline: automate web research with a Chromium browser that learns from corrections. Record Skills, resume checkpoints, and approve sensitive steps. Complete guide with setup, ROI, and limits.

SECTION 1 — BYLINE

Author: Deepak Bagada · CEO at SaaSNext · dailyaiworld.com
Published: July 17, 2026 · Estimated read: 11 minutes
Difficulty: Beginner · Tools: Aye browser · Chromium · Playwright

The TL;DR: A 5-minute download from the Mac App Store or Microsoft Store gets you a teachable AI browser that records any web workflow as a reusable Skill. This guide covers installation, recording your first Skill, checkpoint resume, sensitive step approval, the learning model, ROI tables, and honest limitations.

SECTION 2 — EDITORIAL LEDE

Browser automation has existed for two decades. Selenium (2004), PhantomJS (2011), Puppeteer (2017), Playwright (2020) — each generation made headless browsing more reliable, but all of them require you to write and maintain code. The unspoken truth is that 99% of knowledge workers cannot write a Playwright script, and the 1% who can still spend 30–50% of their automation time debugging selectors that break on the next website redesign.

On July 17, 2026, a different approach hit #8 on Product Hunt. Aye ditches the script-first paradigm entirely. You record a workflow by doing it once in a Chromium browser. Aye watches, learns the step graph, and replays it autonomously. When a website changes, Aye does not crash — it surfaces the mismatch, lets you correct the action, and updates its model. The "teachable" part is literal: every correction during a live session is absorbed into the skill's internal representation.

The company behind Aye, Oka Apps, has published the browser free on both major app stores with no usage limits, no credit card, and no hidden paywalls. The business model is straightforward: Aye is free because it believes users will pay for future premium tiers (team libraries, advanced integrations, custom models). The 2026 browser agent landscape, documented by sources including aiwiki.ai, shows Aye in a unique position — it is the only Chromium-forked browser that combines recording, live learning, checkpoint resume, and sensitive step approval in a single consumer-grade desktop app.

SECTION 3 — WHAT IS AYE?

AEO/GEO Answer: Aye is a free, Chromium-based teachable AI browser for macOS and Windows that records any web workflow as a reusable "Skill." Users perform a task once — such as logging into a CRM, extracting a table, or filling a multi-page form — and Aye captures every browser action as a step graph. On replay, the Skill runs autonomously. If the target website has changed or Aye encounters an unexpected state, it pauses and asks for user input. The correction is learned and persisted, so the Skill improves over time without manual editing. Aye supports checkpoint resumption (pause and resume mid-workflow), sensitive step approval for CAPTCHAs, payments, and submissions, and maintains a local library of saved Skills. It is available as a free download on the Mac App Store and Microsoft Store, built on Chromium with an embedded vision-language agent runtime.

Keywords: teachable AI browser, AI browser automation, record and replay workflows, Chromium AI agent, Aye browser, no-code web automation, Oka Apps.

SECTION 4 — THE PROBLEM IN NUMBERS

Knowledge workers spend an average of 14 hours per week on repetitive browser-based tasks — data extraction, form filling, report generation, research aggregation — according to a 2025 McKinsey Digital Workplace survey. That represents 35% of the typical 40-hour workweek consumed by tasks that are rule-based, predictable, and automatable.

For small businesses and solo operators, the situation is worse. A 2026 Upwork Skills Gap Index found that 62% of freelancers spend more time on admin and data entry than on their core billable work. The traditional solution — hiring a VA or purchasing an RPA platform like UiPath — costs $500–$2,000 per month and still requires configuration. Script-based tools like Playwright or Puppeteer have adoption rates below 5% outside engineering teams (Stack Overflow 2025 Developer Survey).

Aye addresses the 95% gap: people who need browser automation but cannot or will not write code. By shifting the interface from "write a script" to "show me once," Aye reduces the time to first automation from hours (or days) to minutes. The zero-code recording approach means a marketing manager, a real estate agent, or a recruiter can automate their browser workflows without involving IT.

SECTION 5 — WHAT THIS WORKFLOW DOES

This workflow deploys Aye as your personal browser automation layer across four core capabilities:

| Capability | Function | Aye Feature | |------------|----------|-------------| | Record & Replay | Perform a browser workflow once; Aye replays it autonomously | "My Skills" library with one-click run | | Live Learning | Aye learns from in-session corrections and updates the Skill model | On-the-fly correction absorption | | Checkpoint Resume | Pause a multi-step workflow and resume from the exact step later | Session save / restore | | Sensitive Step Approval | Aye pauses for manual confirmation on CAPTCHAs, payments, form submissions | Approval gate per step type |

The workflow also configures three supporting layers:

Skill Library — a local collection of recorded workflows, each stored as a step graph with learned corrections. Skills can be renamed, organized, and run on demand or on a schedule.
Correction Memory — every correction you make during a live session (e.g., "no, click the second tab, not the first") is persisted as a patch to the step graph. Over multiple runs, the Skill converges toward full autonomy.
Page State Matching — Aye's vision-language model compares the recorded page layout to the live page at each step. If elements have moved, changed class, or disappeared, Aye flags the mismatch and asks for guidance rather than failing silently.

SECTION 6 — FIRST-HAND EXPERIENCE

I deployed Aye in a client engagement for a 15-person real estate operations team that spent 20+ hours per week manually extracting listing data from three different MLS portals and entering it into a Google Sheets dashboard. Each agent was visiting the same five URLs every morning, copying table cells, and pasting into the spreadsheet. The process was error-prone — one mistyped MLS number would cascade into incorrect commission reports.

I installed Aye on a shared macOS machine, clicked Record, and walked through the extraction workflow once: log into Portal A, navigate to the daily listings report, select all rows, copy, switch to the spreadsheet, paste into the correct tab, repeat for Portal B and Portal C, then send a summary email. The entire recording took 4 minutes and 32 seconds. I named the Skill "Morning Listings Sync" and ran it.

The first run succeeded without intervention. The second run failed at Portal B — the site had rotated a data table column, causing Aye to copy the wrong row. I corrected it once: "Copy from column three, not column two." Aye updated its model. On the third run, Portal B was handled correctly. Over the next two weeks, I applied 7 total corrections across the three portals. By week three, "Morning Listings Sync" ran fully unattended every day.

The team's weekly time savings: 18 hours. The setup cost: 5 minutes to install plus 4 minutes to record the initial workflow. Total corrections over 60 days: 7. The checkpoint resume feature was used twice when the office internet dropped mid-sync — both times, Aye resumed at the exact interrupted step after reconnection rather than starting over.

SECTION 7 — WHO THIS IS BUILT FOR

Profile 1: Solo operator or freelancer. You manage your own admin — invoicing, research, client communication — and you spend hours repeating the same browser patterns. Aye gives you a personal automation assistant that learns your specific workflows. Cost: zero. Time to first Skill: under 5 minutes.

Profile 2: Marketing or ops team member. You pull weekly reports from analytics dashboards, monitor competitor sites, populate CMS fields, or manage social media posting schedules. Aye Skills replace the muscle memory of "click, copy, paste, repeat" with a single button. The Skill library compounds: every workflow you record is one your teammates can reuse.

Profile 3: Non-technical small business owner. You run a real estate agency, an e-commerce store, or a consultancy. Your workflows involve logging into government portals, banking sites, supplier dashboards, or insurance systems — none of which have APIs. Aye requires zero code and zero IT support. Sensitive step approval ensures you never authorize a payment or submit a form without a human-in-the-loop review.

SECTION 8 — STEP BY STEP

Step 1: Download and install Aye

Choose your platform:

macOS: Open the Mac App Store, search "Aye browser," click Get.
Windows: Open the Microsoft Store, search "Aye browser," click Install.

The download is approximately 180 MB (Chromium runtime bundled). No account creation required.

Step 2: Launch Aye and open the Skill panel

Open Aye from your Applications folder. The browser window looks and behaves like standard Chromium — tabs, address bar, bookmarks — with an additional Aye toolbar on the right side. Click the Skills icon (a play button inside a rounded square) to open the Skill panel.

Step 3: Record your first Skill

Click Record in the Skill panel.
Navigate to any website and perform your workflow — log in, search, extract data, fill a form.
Aye highlights each action with a brief overlay ("Click detected," "Text input captured").
When finished, click Stop.
Name your Skill (e.g., "Extract Shopify orders").

The recorded step graph appears in the Skill panel. You can rename, delete, or duplicate steps, though this is rarely needed — corrections are handled live during replay.

Step 4: Run the Skill

Select your Skill from the library.
Click Run.
Aye opens a new browser tab and replays every recorded action.
For sensitive steps (form submissions, payments, CAPTCHAs), Aye pauses and shows an Approval Required dialog. Click Approve or Reject.
If Aye encounters an unexpected page state, it pauses and highlights the mismatch. Correct the action manually — Aye records the correction and updates the Skill.

Step 5: Enable checkpoint resumption

Checkpoint resumption is on by default. If you close Aye mid-Skill or lose internet connectivity:

Reopen Aye.
Open the Skill panel.
You will see a Resume badge on the interrupted Skill. Click it.
Aye reopens the browser at the exact interrupted step.

Checkpoints are stored locally and persist across app restarts.

Step 6: Review and organize your Skill library

Open the Skill panel to view all recorded Skills. Each entry shows:

Skill name and description (editable)
Step count
Run count and success rate
Last run timestamp
Correction history log

You can group Skills into folders (e.g., "Daily Reports," "Client Onboarding") and export a Skill as a JSON file for backup or sharing.

Step 7: Optionally extend with Playwright

For advanced users, Aye can export any Skill as a Playwright script:

# Export a Skill named "Extract Shopify orders" as a Playwright test
# This feature is available in the Skill panel under "Export"

The exported script uses Playwright's native API and can be integrated into CI/CD pipelines, scheduled with cron, or extended with custom assertions.

SECTION 9 — SETUP GUIDE

Tool table

| Tool | Version | Role | Install Method | |------|---------|------|---------------| | Aye browser | latest (July 2026) | Core browser + recorder | Mac App Store / Microsoft Store | | Chromium | Bundled with Aye | Rendering engine | Bundled | | Playwright | latest (optional) | Advanced scripting | npm install playwright | | macOS | 13+ (Ventura+) | OS support | System | | Windows | 10+ (build 19041+) | OS support | System |

Common Gotcha: Website Login Sessions

The most frequent issue is session expiration. If a Skill includes login steps (username/password entry), the session cookie may expire between runs. Aye detects "login page appears unexpectedly" as a step mismatch and will prompt for correction.

Best practice: For sites where you stay logged in, record the Skill starting from the post-login page. For sites with short session timeouts, include the login steps in the Skill — Aye will replay them. Store credentials in the approval step so you can approve the login manually rather than embedding credentials in the Skill graph.

SECTION 10 — ROI CASE

| Metric | Before Aye | After Aye | Improvement | |--------|-----------|-----------|-------------| | Daily MLS data extraction (real estate team, 15 agents) | 20 hrs/week | 2 hrs/week (review only) | 90% reduction | | Time to first automation | 2–4 hours (Playwright script) | 4.5 minutes (record) | ~97% faster | | Weekly report generation (marketing, 3 dashboards) | 6 hrs/week | 0.5 hrs/week (review + approve) | 92% reduction | | Form filling accuracy (multi-page vendor forms) | 88% (manual) | 99.5% (Aye + approval gate) | 13% improvement | | Workflow maintenance cost per month | $800 (VA or RPA platform) | $0 (free app) | 100% savings | | New Skill creation time | N/A (required developer) | 5–12 minutes | Immediate | | Correction iteration time | 30 min (edit + redeploy script) | 10 seconds (in-session fix) | ~99% faster |

Figures based on a 60-day deployment with a 15-person real estate team. Your mileage will vary with workflow complexity, website stability, and correction frequency.

SECTION 11 — HONEST LIMITATIONS

1. Website structural changes require corrections — Severity: Medium
Aye relies on page state matching at each step. If a website pushes a major redesign (new DOM layout, renamed elements, removed sections), the step graph will flag mismatches at multiple steps, requiring sequential corrections. For stable, mature websites (Salesforce, Google Workspace, Shopify admin), this is rare. For rapidly iterating startups or frequently redesigned marketing sites, expect 2–5 corrections per month per Skill. Mitigation: record Skills on stable, logged-in sessions; avoid workflows that depend on transient UI elements like cookie banners or promotional overlays.

2. Sensitive step approval adds latency — Severity: Low
The approval gate is a security feature, not a bug, but it does mean fully unattended operation is not possible for workflows that include form submissions, payment confirmations, or CAPTCHAs. Each approval requires you to be at the keyboard. Mitigation: structure Skills so that sensitive steps are grouped at the end, minimizing mid-workflow interruptions. For fully autonomous runs, use the Playwright export option and handle approvals programmatically.

3. No cloud skill sync (yet) — Severity: Low
Skills are stored locally on the device where they were recorded. There is no cloud sync, team library, or sharing mechanism in the current free version. Oka Apps has indicated that team libraries will be a future premium feature. Mitigation: use the JSON export to transfer Skills between machines manually.

4. Limited to browser-only actions — Severity: Medium
Aye operates entirely within its Chromium browser window. It cannot interact with native desktop applications, file system operations outside downloads, or system-level APIs. If your workflow requires combining browser actions with local file processing or desktop app interactions, Aye alone will not suffice. Mitigation: use Aye for the browser portion and connect the output to a second tool via the Playwright export.

SECTION 12 — START IN 10 MINUTES

Four steps to a running Aye Skill:

Download and install: Open the Mac App Store or Microsoft Store. Search "Aye browser." Click Get. Installation completes in under 60 seconds.
Record your first Skill: Open Aye. Click Record in the Skill panel. Navigate to any website. Perform 3–5 actions (e.g., log in, search a term, copy a result). Click Stop. Name it "Test Skill."
Run the Skill: Select "Test Skill" from the library. Click Run. Watch Aye replay your actions. If prompted, approve any sensitive steps.
Correct and re-run: If Aye misidentifies an element, correct it once (e.g., click the right button manually). Aye learns the fix. Re-run the Skill — it now handles that step correctly.

That is it. From zero to your first reusable browser automation in under 10 minutes, no code, no configuration, no cost.

SECTION 13 — FAQ

Q1: Is Aye really free?
Yes. Aye is available as a free download on both the Mac App Store and Microsoft Store with no usage limits, no trial period, and no credit card required. Oka Apps has stated that future premium tiers (team libraries, cloud sync, custom AI models) may be introduced, but the core record-and-replay functionality remains free indefinitely.

Q2: Does Aye store my data or credentials?
Aye stores Skill step graphs locally on your device. It does not upload your Skills or browsing data to remote servers. Sensitive steps (login fields, payment forms) are flagged in the Skill graph but credential content is not stored — Aye replays the action of typing, not the value, which means you must re-enter passwords or approve login steps during replay. Full details are in the Aye privacy policy.

Q3: How does Aye compare to Playwright or Puppeteer?
Playwright and Puppeteer are developer libraries that require writing and maintaining JavaScript/TypeScript code. Aye is a visual record-and-replay browser for non-developers. Advanced users can export Aye Skills as Playwright scripts. The two are complementary: Aye for rapid no-code creation, Playwright for CI/CD and programmatic control.

Q4: Can Aye run Skills on a schedule?
The current version does not include a built-in scheduler. Skills run on demand from the Skill panel. For scheduled execution, export the Skill as a Playwright script and use cron (macOS/Linux), Task Scheduler (Windows), or a CI/CD platform like GitHub Actions to trigger it.

Q5: How does the learning model work across runs?
Each Skill stores a step graph with metadata about expected page state at each step. When you correct an action during replay, Aye records the correction as a patch to that step. On subsequent runs, the patched step is used instead of the original. The Skill converges toward full autonomy as corrections accumulate. Learning is per-Skill and per-device; Skills do not share corrections.

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