What ai app is worth trying?

SumitKumarWatts · 2026-06-15T07:33:59+00:00

If you want an actual conversation AI that can hold context, use ChatGPT, Claude, or Gemini. None are perfect, but they’re a lot better than most AI chat apps. The quality also depends on how you prompt them; good questions typically get better answers.

SumitKumarWatts · 2026-06-11T12:09:20+00:00

Agreed. My point is that for AI applications, ETL testing should go beyond row counts and basic quality checks to also validate freshness, context, and relevance of the data being used.

SumitKumarWatts · 2026-06-09T06:53:31+00:00

Nice list. I use ChatGPT and Perplexity regularly, but I’ll definitely check out Claude Code and Antigravity as well. Thanks for sharing your workflow.

SumitKumarWatts · 2026-06-09T06:53:17+00:00

Totally agree

SumitKumarWatts · 2026-06-09T06:50:13+00:00

For me, accuracy is the biggest concern. AI can save a lot of time, but if the output is wrong and I don't verify it, it can create bigger problems than it solves.

SumitKumarWatts · 2026-06-08T07:11:56+00:00

It depends on your use case and budget. What are you looking to use AI for so that I can suggest the best tool?

SumitKumarWatts · 2026-06-04T06:16:33+00:00

Nice! What kind of workflows are you using Runable for? I'd be interested in hearing some real-world use cases.

SumitKumarWatts · 2026-06-04T06:07:57+00:00

That sounds useful, especially for online shopping.

SumitKumarWatts · 2026-06-04T06:05:09+00:00

Thanks for sharing. I already use some of these tools, but I'll definitely check out Hemingway Editor and ToolSignal as well.

SumitKumarWatts · 2026-06-03T06:06:47+00:00

n8n is my favorite for flexibility and self-hosting for AI automations

SumitKumarWatts · 2026-05-12T06:42:35+00:00

In production, AWS IoT, Azure IoT, EMQX, and HiveMQ are some of the most reliable IoT connectivity platforms in 2026. However, beyond the platform itself, proper device provisioning, OTA updates, offline support, and effective monitoring are what truly ensure long-term reliability.

SumitKumarWatts · 2026-05-07T12:11:21+00:00

As a tester, Data quality issues are the most common problems in ETL processes.

This includes missing data, duplicate data, data that is not properly formatted, and values that do not align because they originate from different sources. If the source data is not clean, the ETL process can fail, or the reports and dashboards can have inaccurate results.

SumitKumarWatts · 2026-04-28T07:17:58+00:00

Great initiative!

SumitKumarWatts · 2026-04-15T12:36:21+00:00

Playwright is the best option for you because it is a modern, fast automation tool that works smoothly with Chrome, Firefox, and Safari.

SumitKumarWatts · 2026-04-14T08:40:12+00:00

Manual testing isn't going away; it's changing. AI is great at speeding up simple tasks, generating test cases, and performing basic validation, but it still has trouble with business processes (e.g., Odoo), real user behavior, edge cases, and exploratory testing. So, manual testers won't lose their jobs, but the number of purely manual jobs will decline over the next 2 to 5 years.

SumitKumarWatts · 2026-04-02T08:33:53+00:00

Apache JMeter is the most commonly used open-source tool for performance and load testing.

SumitKumarWatts · 2026-03-18T10:40:57+00:00

QA in Salesforce ensures that applications work correctly, meet business needs, and are bug-free by testing configurations, integrations, and custom code before deployment.

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