Agent Outcome Rubrics Are Just Prompts: How to Write Grading Criteria That Actually Fail Bad Output
Anthropic shipped the grading loop -- the rubric is now the hardest prompt you'll write
CTO of Kief Studio. 20+ years technology consulting. Cisco Certified Ethical Hacker, UPenn AI for Business, Perplexity AI Business Fellow. Builds the tools Qurtoo teaches you to use.
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Anthropic shipped the grading loop -- the rubric is now the hardest prompt you'll write
Embedding hesitation cues like 'wait, let me verify' into your prompts activates built-in self-correction that chain-of-thought never could
ADK 1.0 and the A2A protocol turned your agent's metadata into the most important prompt you're not optimizing
Each frontier model parses structure differently -- XML, JSON, or markdown. Match the format, and output quality jumps measurably.
Anthropic's Managed Agents, Google ADK, and Microsoft Agent Framework 1.0 all abstract away the runtime -- your prompts need to catch up
OpenAI's new prompting guide kills personas, step-by-step, and emotional primers -- here's the minimal structure that actually works on reasoning models
Turn contract PDFs and compliance docs into structured risk assessments with three prompts
The new GitHub CLI skill system lets you write one agent instruction set that runs everywhere -- here's how to prompt it right
Defensive system prompts and validation chains for the attack class that hits harder the smarter your model is
Stop burning your million-token window on grep output. Prompt patterns that decide what gets delegated.
Stop writing 'think step by step'. Start setting token budgets that match the task.
A post-April-15 playbook for tax pros using Claude and GPT to handle the messy 6-month tail of the 2026 filing season