Scalable pricing model with 200 free messages monthly.
Extensive customization options with RAG and templates.
Intuitive prompt-based interface for rapid agent creation.
Toksta's take
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Agentive
Reddit Review
1
threads analyzed
15
comments
Updated
Aug 07, 2025
Negative Sentiment
What Users Love
Common Concerns
Potential for Future Utility: Some users believe it can be useful, especially for specific tasks like ticketing systems needing to access multiple data sources, or for speeding up resolution in such systems.
Good for Low-Cost-of-Failure Scenarios: It's seen as best suited for exploratory tasks, research, prototyping, and development, particularly when supervised by a competent operator.
Dynamic Workflows: When discussed in a positive light, "agentic" approaches are often equated with dynamic workflows, suggesting some level of adaptability beyond rigid scripts.
Hype vs. Reality: This is the most significant gripe. Many users assert that "Agentic AI" is primarily marketing hype, a "buzzword problem," and a "hype train" that doesn't reflect current capabilities.
Lack of True Agency: Most "deployments" are described as "just scripted workflows," "glorified workflow automation wrapped in LLMs," or "sophisticated if-else statements." There's a strong belief that true, autonomous agency is rare or non-existent in production.
Not in Production/PoC Stage: A recurring theme is that "pure Agentic systems" are not in production, are still "in the works," or remain as "proofs-of-concept" due to significant hurdles.
Deterministic Issues: Some users point out that the non-deterministic nature of main LLM models (like ChatGPT) makes true agentic behavior difficult or problematic for reliable business solutions.
Cost of Failure: The high cost of failure in many business scenarios makes truly autonomous agents impractical or risky.
Agentive
Pricing Analysis
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