middleware
Serve approved prompts inside your framework
For agents built with any of the SDKs above, or plain OpenAI and Anthropic clients
Explore the SDK ↗AI framework for teams
Most businesses hand their team AI. The ones pulling ahead build it into how they run.
WORKS INChatGPTClaudeGeminiMicrosoft CopilotPerplexityCursor
Product loop: a lead approves the Support Ticket Triage and Reply workflow, a rep runs it from Claude, and reps across ChatGPT, Claude, Gemini and Cursor run the team's approved workflows the same way.
Three things stop AI from working across a team. AirPrompter fixes all three.
76% of small businesses use AI. Only 14% have built it into how they work.
Shared prompts
Your team's best prompts become one approved version that everyone runs, in whichever AI tool they already use.
Release checks
Every new version is checked against standards like AISPA and your Company Policy, with the exact line that needs a fix.
Measured delivery
New versions roll out gradually, and every run reports back how it went, so you know what's working before it goes wider.
How AirPrompter fits
From one person's prompt to how the whole team works
AirPrompter turns your team's best work into approved AI workflows that everyone runs from ChatGPT, Claude or Gemini, the same way every time.
01 / 06 · CAPTURE
Capture what already works
Save the prompts and workflows your best people already rely on, from chat threads, docs and SKILL.md files, into one shared library.
LibraryImport
02 / 06 · BUILD
Turn it into a skill
Answer a few questions about how the work gets done. AirPrompter proposes the steps, and your team reviews them before anything is saved.
SkillsGuided interview
03 / 06 · APPROVE
Approve every change
Changes go into review. A reviewer approves them, and only then do they go live. Every version is kept.
ReviewsVersions
04 / 06 · PUBLISH
Publish to a Playbook
Approved workflows go into Playbooks. Turn MCP on and every member can reach them from the AI tools they already use.
PlaybooksWorkspacesMCP
05 / 06 · RUN
Run it where your team already works
Ask for a workflow by name in ChatGPT, Claude, Gemini, Cursor or any other MCP client. Everyone runs the same approved version.
ConnectorsChrome extensionAny MCP client
06 / 06 · IMPROVE
Improve it once. Everyone gets it.
Every run is counted in the Hub. Improve a workflow, send the new version to review, and the whole team runs the better one.
HubEvaluateImprove
Your rules,
on every prompt
AirPrompter checks each version against standards like AISPA and your own Company Policy, and marks the exact line that needs a fix before it goes live.
See exactly what to fix
Checks mark the lines that break a rule, and the ones that protect your customers.
Fix it, then check again
Edit the flagged lines, run the checks again, and the version moves to review once nothing blocks it.
Write your rules in plain words
Company Policy is your team's own rules. Every check asks whether each prompt follows them.
You decide what blocks
Choose, part by part, whether findings only advise or also stop a release.
Coming soon · Team AgentsProgressive delivery
Progressive delivery
for your agents
Keep the framework you already use. AirPrompter adds a delivery layer between your team's approved prompts and your agents, so every prompt change ships the way code does: signed, ramped and measured, while prompts and answers stay on your systems.
Works with the agent SDK you already use
LangChainLangGraphOpenAI Agents SDKPydantic AIMastraVercel AI SDKOpenAI clientAnthropic client
Where AirPrompter sits
Your framework still builds and runs the agent. AirPrompter sits between it and your team: it serves each prompt slot the version your team approved, ramps changes, and gets back counts (tokens, latency, errors, tool calls, feedback), never text.
rollouts
Ramp a new version without risking every user
For prompt changes going to live traffic, one gated step at a time
run telemetry
Measure every run without seeing your data
For production agents that need proof before a change goes wider
Explore run telemetry ↗Early accessBuild AI into how
Build AI into how
your team runs
We're opening AirPrompter to a small group of teams before launch. Early teams get a direct line to the founders, a say in the roadmap, founding-team pricing and hands-on setup.