Nobody cares that you process 2B tokens. That’s not a flex, it’s a bill. Introducing Entelligence AI Agent Insights - Track not just dollars spent but actual ROI We built Agent Insights to map AI spend straight to engineering outcomes: features, fixes, and PRs Manage your budget based on... actual company priorities Cut your spend in half with the Entelligence model router See what your AI spend actually shipped:show more

@EntelligenceAI Knowing what you spent is useful, but knowing what actually reached production because of that spend is where the real value is.

@EntelligenceAI My boy @TaradepanR doesn’t have to bother me telling me about his new cool skill anymore. My agents pick up his design skills automatically to keep my frontend edits up to his standard It’s a great time to be lazy

@EntelligenceAI This is exactly what engineering teams need to justify their AI budgets

@EntelligenceAI this is how ai should be measured

@EntelligenceAI That's what we needed

@EntelligenceAI seems like it's time to stop tokenmaxxing and start optimizing for outcomes

@EntelligenceAI love this finally something that tells you if the spend was worth it

@EntelligenceAI Exactly you can’t optimize what you can’t measure

@EntelligenceAI Love the individual spend tracking feature, especially useful for companies that give every employee access under per-seat plans.

@EntelligenceAI Exactly but what we’re seeing actually is that teams end up wanting to budget for their overall goals and initiatives Currently there’s no good way to do that before this

@EntelligenceAI Great

@EntelligenceAI The accountability layer AI eng needed.

@EntelligenceAI mapping spend directly to features and prs is the metric that’s been missing

@EntelligenceAI i've spoken with so many CTOs yearning for something like this. Amazing vision and execution @Aiswarya_Sankar and @EntelligenceAI team!

@EntelligenceAI AI ROI starts when every dollar can be traced to what actually shipped - not merely how many tokens were consumed. That’s the difference between tracking AI cost and measuring AI value.

@EntelligenceAI Exactly value not spend

@EntelligenceAI The metric that matters isn't token usage, it's what actually gets shipped.

@EntelligenceAI The metric that matters isn't token usage, it's what actually gets shipped.

@EntelligenceAI shifting the question from “how much did we spend” to “what did it build” is the right move

@EntelligenceAI Love the shift from token metrics to actual engineering outcomes.

@EntelligenceAI Otherwise it’s just numbers not outcomes

@EntelligenceAI finally someone measuring what actually shipped instead of tokens burned

@EntelligenceAI Real results matter more than big numbers.

@EntelligenceAI Outcomes over token counts, every time.

@EntelligenceAI Its time to stop token maxing

@EntelligenceAI I think we've been measuring the wrong thing. Token count is interesting, but shipped work is what really matters.

@EntelligenceAI AI spend is easy to track. AI impact? Not so much. The real metric isn’t how many tokens you used. It’s what actually got shipped.

@EntelligenceAI token count was never the metric that mattered, this proves it

@EntelligenceAI im so loving the graphs, data with useful insights

@EntelligenceAI been looking for exactly this to justify our team’s ai spend

@EntelligenceAI Don’t be an anthropic revenue machine!

@EntelligenceAI soo I have to stop tokenmaxxing????

@EntelligenceAI Stop guessing what your AI spend achieved. Agent Insights ties every invoice directly to the features delivered, issues resolved, and pull requests merged.

@EntelligenceAI hey there @Aiswarya_Sankar i have a proposition this video should’ve gone viral and that’s what i specialize in, let me help with your next launch and if it doesn’t perform you don’t pay me a dime just sent over a dm

@EntelligenceAI tokenmaxxing is not value maxxing , it's time to value max

@EntelligenceAI Tokens burned ≠ value shipped. Agent Insights finally connects the invoice to the actual features, fixes, and PRs it produced.

@EntelligenceAI Finally someone is measuring what AI actually delivers instead of how much it was used.

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@EntelligenceAI Agent Insights connects AI spending directly to engineering results, helping teams understand their true ROI. Congrats @Aiswarya_Sankar on #3 on Launch Archive today.

@EntelligenceAI Step one isn't optimization, it's attribution — you can't cut what you can't see. InferenceView maps AI activity to teams and workloads with honest evidence grades: