Prompts are production assets.
Treat them like it.
Prompts are production assets.
Treat them like it.
Prompts are production assets.
Treat them like it.
Prompt Manager turns ad hoc prompt logic into versioned, reusable assets shared across teams, governed centrally, and traceable in production. When agent behaviour needs to change, you update the prompt not the codebase.
Prompt Manager turns ad hoc prompt logic into versioned, reusable assets shared across teams, governed centrally, and traceable in production. When agent behaviour needs to change, you update the prompt not the codebase.
Try in the playground →
Try in the playground →
Talk to an architect →
Talk to an architect →
Centralized prompt library across agents and workflows
Centralized prompt library across agents and workflows
Templates with variables instead of one-off strings
Templates with variables instead of one-off strings
Full version history, comparison, and rollback
Full version history, comparison, and rollback
Safe activation of versions for production workflows
Safe activation of versions for production workflows
Turn prompt chaos into a predictable system for agent behavior
Turn prompt chaos into a predictable system for agent behavior
At scale, "just tweak the prompt" breaks down fast. Teams copy-paste their own versions, no one knows what's live, and a small change quietly breaks a critical workflow. Prompt Manager replaces that with a single governed layer so engineering and operations always know what behaviour is running in production, and why.
At scale, "just tweak the prompt" breaks down fast. Teams copy-paste their own versions, no one knows what's live, and a small change quietly breaks a critical workflow. Prompt Manager replaces that with a single governed layer so engineering and operations always know what behaviour is running in production, and why.
Behavior aligned to real context
Behavior aligned to real context
Design prompts that reflect your actual workflows business rules, user roles, domain specifics. Agents respond differently when they should, and consistently when they must. No single generic instruction trying to do everything.
Design prompts that reflect your actual workflows business rules, user roles, domain specifics. Agents respond differently when they should, and consistently when they must. No single generic instruction trying to do everything.
Evidence-driven prompt improvements
Evidence-driven prompt improvements
Stop guessing which prompt performs better. With every prompt version tied to runs and outcomes, teams see exactly how changes impact quality, speed, and downstream work then keep what works and roll back what doesn't.
Stop guessing which prompt performs better. With every prompt version tied to runs and outcomes, teams see exactly how changes impact quality, speed, and downstream work then keep what works and roll back what doesn't.
Shared playbooks across agents
Shared playbooks across agents
Tone, escalation rules, classification logic defined once, shared across agents. One update to a shared template uplifts behaviour everywhere it's used. Less duplication for engineering. More consistency for operations.
Tone, escalation rules, classification logic defined once, shared across agents. One update to a shared template uplifts behaviour everywhere it's used. Less duplication for engineering. More consistency for operations.
Treat prompts like product assets, not strings
Treat prompts like product assets, not strings
Prompt formats and templates
Central library, versioning, and control
Playground and integration into agents
Prompt formats and templates
Support for both chat prompts (role-based messages) and completion prompts for legacy systems.
Prompt templates with dynamic placeholders, so you define the structure once and fill in variables at runtime.
Clear separation between the template and the resolved prompt that is actually sent to the model.
Prompts as part of the workflow definition, not hidden in code
Prompts as part of the workflow definition, not hidden in code
Prompts as part of the workflow definition, not hidden in code
Inside elsai Foundry, prompts sit alongside Guardrails and ARMS so engineers and operators see behavior, safety, and performance in one place.
Inside elsai Foundry, prompts sit alongside Guardrails and ARMS so engineers and operators see behavior, safety, and performance in one place.
1
Agents reference Prompt Manager, not hard-coded strings: each agent or workflow step points to a named template and version, so you always know which instructions it’s using.
Agents reference Prompt Manager, not hard-coded strings: each agent or workflow step points to a named template and version, so you always know which instructions it’s using.
2
Prompts and Guardrails work together: prompts define desired behavior; Guardrails enforce safety and policy. When a run misbehaves, ARMS shows the prompt version and guardrail outcome side by side.
Prompts and Guardrails work together: prompts define desired behavior; Guardrails enforce safety and policy. When a run misbehaves, ARMS shows the prompt version and guardrail outcome side by side.
3
ARMS adds full operational context: when you inspect a run, you see the prompt template and version alongside tokens, latency, tool calls, and safety events.
ARMS adds full operational context: when you inspect a run, you see the prompt template and version alongside tokens, latency, tool calls, and safety events.
Outcome line : If a reconciliation, support, or clinical workflow starts giving unexpected answers, you can trace it back to a specific prompt change instead of just saying “the model did something weird.”
Outcome line : If a reconciliation, support, or clinical workflow starts giving unexpected answers, you can trace it back to a specific prompt change instead of just saying “the model did something weird.”
What elsai prompt manager unlocks for your teams
What elsai prompt manager unlocks for your teams
For engineering and AI teams
Roll out new behaviors classification schemes, escalation rules, summarization styles across many agents by updating a single shared template. If an experiment underperforms, revert to a previous version without redeploying code or changing infrastructure.
Roll out new behaviors classification schemes, escalation rules, summarization styles across many agents by updating a single shared template. If an experiment underperforms, revert to a previous version without redeploying code or changing infrastructure.
For operations and business owners
Get more predictable agents: the same workflow produces consistent tone, structure, and decision logic, regardless of who edited prompts behind the scenes. Propose prompt improvements and examples directly in Prompt Manager, instead of waiting on engineering tickets.
Get more predictable agents: the same workflow produces consistent tone, structure, and decision logic, regardless of who edited prompts behind the scenes. Propose prompt improvements and examples directly in Prompt Manager, instead of waiting on engineering tickets.
For risk, audit, and governance
Tie every agent decision to a specific prompt template and version at a specific time, making reviews and audits much easier. Keep prompt history, safety checks, and run-level traces together in elsai Foundry so investigations don’t require stitching together multiple tools.
Tie every agent decision to a specific prompt template and version at a specific time, making reviews and audits much easier. Keep prompt history, safety checks, and run-level traces together in elsai Foundry so investigations don’t require stitching together multiple tools.
ARMS is the observability layer of elsai Foundry giving you the structured visibility to operate, optimize, and defend every agent workflow in production, at every step, across every model and tool your agents use.
ARMS is the observability layer of elsai Foundry giving you the structured visibility to operate, optimize, and defend every agent workflow in production, at every step, across every model and tool your agents use.
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