Perplexity vs. Agentforce

Perplexity is helpful when you want auto-code generation for day-to-day problem scenarios such as Powershell script to accomplish a task, Code to invoke a REST API, Class generation from JSON/XML data, etc. It is also helpful when you want to correct or optimize code that you have self-written. Perplexity might not be best suited for scenarios when you need 100% accuracy without your self-verification of correctness.

Incentivized

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Agentforce has a lot of applications. We are using it in consulting to benchmark other clients, what they're doing, where we stand, how can we have better efficiencies coming in, et cetera. Those are the areas where it is doing exceptionally well. The area where we feel it can do much more better is maybe a market benchmark because it's been used across by so many players and it's a connected ecosystem. If Salesforce can have something where it gives me the market view of things, I can then benchmark rather than in my own universe to the broader university Salesforce and I know where I exactly stand and what more can I achieve, what's my final goalpost. So that would be something really great.

Incentivized

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• Research the company that my prospects work for.
• Research background on my prospects.
• Combine those two and come up with about one page on how to approach them based on the space (persona) I created.

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• Which helps in creation of Autonomous AI agents to operate
• Multi-System Integration with "Zero-Copy" Data Access
• To built chatbots and copilot tools by utilizing the Atlas Reasoning Engine to function as an autonomous digital workforce
• Order and Transactional Management

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• Image generation is not upto mark
• Data analysis for excel is way off
• Getting insights on data not available online is hard
• Need to embed like copilot in assisting day to day activities

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• It is complex too, more help documentation or videos will help
• AI assistance doesn’t work well for specific or detailed questions
• So much configuration available it can put off new users

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It's great, but doesn't necessarily feel like it adds enough value over using CoPilot, ChatGPT, or whichever generative AI tool your business already uses. Time will tell if this model continues to be developed, and whether it remains competitive with the other big models out in the industry, and innovating features and integrating more use cases fast.

Incentivized

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The platform offers an intuitive overall experience and the expected strong integration with other Salesforce existent tools. It has a low learning curve for new users on the commom use cases, such as intent classification, routing and knowledge-based answers. It could be improved with more transparency regarding to the AI decision logic.

Incentivized

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I use all three at present, Perplexity IS outstanding when It comes to researching, like a search engine on steroids. If you need programming skills Claude or Chatgpt seem better suited for the task. What I normally do in a project IS use all three in order to arrive at a more insightful outcome. The BEST of all world.

We did evaluate the EVA bots, which are coming in market for Salesforce effectiveness. Those bots are good, but they're based out of very traditional use cases in the life sciences space. Agentforce is very, very advanced, right? Eva can talk about a typical sales rep coming in, logging in the day, log their entire day, and then probably having a simple text to reporting kind of a view. And that's it. Agentforce gives me a lot of insights, it gives me a lot of actionable insights. It uses its own brain. That's where Salesforce is an AI company. So we trust the Salesforce banner for it to innovate more and more, more and more. And that's where we chose Agentforce over.

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• Increases efficiency
• Saves costs (e.g. for creation of creative content)
• Frees up time that can be used for other productive actions

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• We were able to assist customers with the self service option, without wasting effort from a real CS advisor

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info