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submitted by /u/esporx [link] [comments]

I'm curious how people are thinking about ROI from agents beyond productivity. A lot of the discussion is still around "this saved me 3 hours" (in some cases wasted more lol) or "this automated a workflow." That's obviously useful, but it feels like a limited way to measure value. For people using agents seriously, are you tracking anything beyond time saved? like for example: - did the agent create something reusable? - did it improve a workflow over time? - did it generate outputs that had value outside the original task? - did it create something others would pay for? - did it help produce knowledge, decisions, or execution that compounds? I'm especially interested in people using agents for coding, research, business ops, content, data work, or niche expert workflows. just want to hear...

submitted by /u/Beautiful_Bee4090 [link] [comments]

Just got accepted into the Anthropic Claude Partner Network. Part of the requirement is completing the CPN learning path with 10 people under our org’s domain. The learning path is 4 courses on Anthropic Academy — Agent Skills, Claude API, MCP, and Claude Code in Action. Once all 10 finish, the org gets CCAF exam access unlocked. The exam is currently free for partner org members if anyone here is already working with Claude and wants to complete this alongside us. You’d use a company domain email alias we set up — courses are fully self-paced. The courses are genuinely useful if you’re building with Claude. Comment or DM if relevant to you. submitted by /u/coder1215 [link] [comments]

These days, what we hear most often is that AI will replace many jobs and could create chaos. But perhaps if we compare it to when personal computers first started being used, we'll see the same impact. And that didn't cause chaos, nor did it lead to an economic collapse or a massive number of layoffs. Some points to compare: - When personal computers first emerged, they began to be used for a wide variety of tasks and functions, in offices, at home, in college, in a wide variety of professions. The same is happening with AI, which is being used in the same way. - The personal computer was and is just a tool; it wasn't, on its own, something that caused a huge disruption in how things are done; it only accelerated processes. If we compare it to AI, it is also a tool that reduces the time ...

submitted by /u/SgtHawk [link] [comments]

I've been running an AI agent that makes tool calls to various APIs, and I added a logging layer to capture exactly what was being sent vs. what the tools expected. Over 84 tool calls in 72 hours, 31 of them (37%) had parameter mismatches — and not a single one raised an error. The tools accepted the wrong parameters and returned plausible-looking but incorrect output. Here are the 4 failure categories I found: 1. Timestamp vs Duration — The agent passed a Unix timestamp where the API expected a duration string like "24h". The API silently interpreted it as a duration, returning results for a completely different time window than intended. 2. Inclusive vs Exclusive Range — The agent sent end=100 meaning "up to and including 100," but the API interpreted it as exclusive, missing the boundar...

submitted by /u/MrNewVegas2077 [link] [comments]