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Minimum Viable Agent: Difference between revisions
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#'''Plan for Monetization''': Once validated, explore revenue models like subscriptions, pay-per-use, or freemium tiers, ensuring the agent’s value justifies its cost. | #'''Plan for Monetization''': Once validated, explore revenue models like subscriptions, pay-per-use, or freemium tiers, ensuring the agent’s value justifies its cost. | ||
== Practical Examples == | ==Practical Examples== | ||
MVAs can take many forms depending on the problem they tackle. Common examples include: | MVAs can take many forms depending on the problem they tackle. Common examples include: | ||
* | *'''Customer Support Bot''': Answers routine questions for an e-commerce site using a simple FAQ database, passing tricky queries to a human operator. | ||
* | *'''Financial Analyzer''': Extracts key insights from company earnings reports for investors, highlighting critical metrics or trends. | ||
* | *'''Hiring Assistant''': Filters job applications by matching resumes to predefined criteria, reducing manual screening time for recruiters. | ||
These agents don’t need advanced capabilities like deep [[Natural Language Processing|NLP]] or full automation at first. Instead, they often rely on a "[[Human-in-the-Loop]]" approach, where human oversight compensates for limitations while the system learns. | These agents don’t need advanced capabilities like deep [[Natural Language Processing|NLP]] or full automation at first. Instead, they often rely on a "[[Human-in-the-Loop]]" approach, where human oversight compensates for limitations while the system learns. | ||