Blitz Agent turns a rough agent idea into a structured system prompt role, workflow, guardrails, and output rules. Answer a short guided interview, refine it in Studio, test it in a chat playground, and score it before you ship. paid from $5/mo.
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π Hey Product Hunt!
I'm excited (and a little nervous) to launch AgentBlitz today!
The problem: Building a good AI agent isn't just "write a prompt and ship it." Most people spend hours going back and forth β tweaking instructions, guessing why the agent misbehaves, testing manually in a chat window, and hoping it holds up in production. There's no real feedback loop.
What we built: AgentBlitz is a prompt engineering studio that turns that guesswork into a repeatable workflow:
Agent Builder β describe what you want (persona, task, or an existing prompt to improve) and get a production-ready system instruction in minutes
Studio Editor β refine the generated prompt with structured controls for rules, tools, knowledge, and variables β not just a raw textbox
Live Chat Testing β pressure-test your agent with real queries (text or voice) before your users ever see it
Evaluations β run multi-turn, scenario-based evals with an optional judge model to actually measure quality instead of eyeballing it, and compare versions over time
Agent Library & Projects β start from proven personas, save versions, and pick up where you left off
We built this because we kept hitting the same wall ourselves: prompt engineering felt more like art than engineering. AgentBlitz is our attempt to make it measurable, iterative, and fast β closer to how we'd build and test regular software.
Would love for you to try it and tell us:
What's the most annoying part of building/testing AI agents today?
What would make evaluations actually trustworthy for you?
Thanks so much for checking it out β happy to answer anything in the comments! π
Report
The Studio step actually made me rethink how loosely I usually throw together agent prompts. Scoring before shipping is a small touch but it caught a couple of vague instructions I had glossed over.
Report
The guided interview actually pulled out edge cases I would have skipped on my own, and the built-in scoring saved me a back-and-forth with teammates. Honestly did not expect a $5 tool to feel this practical.
Report
The guided interview before the playground is a smart move, it actually shapes the prompt instead of just letting you wing it from scratch. Solid execution on a workflow that usually feels disjointed.
Report
Love how the guided interview actually feels conversational instead of just dumping form fields at you, and the scoring step before shipping is a smart guardrail most prompt builders skip entirely.
Report
the guided interview before Studio feels like a really thoughtful choice, it stops people from staring at a blank prompt box and wondering where to even start.
π Hey Product Hunt!
I'm excited (and a little nervous) to launch AgentBlitz today!
The problem: Building a good AI agent isn't just "write a prompt and ship it." Most people spend hours going back and forth β tweaking instructions, guessing why the agent misbehaves, testing manually in a chat window, and hoping it holds up in production. There's no real feedback loop.
What we built: AgentBlitz is a prompt engineering studio that turns that guesswork into a repeatable workflow:
Agent Builder β describe what you want (persona, task, or an existing prompt to improve) and get a production-ready system instruction in minutes
Studio Editor β refine the generated prompt with structured controls for rules, tools, knowledge, and variables β not just a raw textbox
Live Chat Testing β pressure-test your agent with real queries (text or voice) before your users ever see it
Evaluations β run multi-turn, scenario-based evals with an optional judge model to actually measure quality instead of eyeballing it, and compare versions over time
Agent Library & Projects β start from proven personas, save versions, and pick up where you left off
We built this because we kept hitting the same wall ourselves: prompt engineering felt more like art than engineering. AgentBlitz is our attempt to make it measurable, iterative, and fast β closer to how we'd build and test regular software.
Would love for you to try it and tell us:
What's the most annoying part of building/testing AI agents today?
What would make evaluations actually trustworthy for you?
Thanks so much for checking it out β happy to answer anything in the comments! π
The Studio step actually made me rethink how loosely I usually throw together agent prompts. Scoring before shipping is a small touch but it caught a couple of vague instructions I had glossed over.
The guided interview actually pulled out edge cases I would have skipped on my own, and the built-in scoring saved me a back-and-forth with teammates. Honestly did not expect a $5 tool to feel this practical.
The guided interview before the playground is a smart move, it actually shapes the prompt instead of just letting you wing it from scratch. Solid execution on a workflow that usually feels disjointed.
Love how the guided interview actually feels conversational instead of just dumping form fields at you, and the scoring step before shipping is a smart guardrail most prompt builders skip entirely.
the guided interview before Studio feels like a really thoughtful choice, it stops people from staring at a blank prompt box and wondering where to even start.