Stop knowledge leaks
Capture unwritten rules, hidden landmines, and key relationships before they walk out the door.
Capture the critical tacit knowledge as people depart and turn it into a durable asset—continuity secured, ramp times slashed, and institutional memory that never leaves.
Capture unwritten rules, hidden landmines, and key relationships before they walk out the door.
Our 80/20 capture prompts pull the high-signal know‑how successors actually need.
Living Echoes plus an instant Onboarding Playbook accelerate time‑to‑productivity.
Echo preserves the 20% of unwritten wisdom that drives 80% of outcomes—so new hires land running and teams keep moving.
Successors get productive in days, not weeks.
Institutional memory stays—people can move on without leaving gaps.
A role‑attuned assistant that answers with organizational context.
Echo Capture Engine. Instant Onboarding Playbook. Knowledge Dashboard. Continuity by design.
Guided, high‑signal Q&A to surface unwritten rules, hidden landmines, and essential relationships—fast.
Produces a practical Onboarding Playbook with a 30‑day quick‑start, top priorities, key contacts, and critical risks.
Browse Echoes by role, export to Notion/Confluence, and improve over time via successor feedback loops.
All Echo chats and behavior definitions are persisted in Convo‑Lang for auditability, reproducibility, and portability—plain text you can review, version, and trust.
Encode role, scope, and sources in one conversation spec so every Echo answers with institutional context.
Behavior and policies live in plain text—auditable, reviewable, and easy to govern.
System, assistant, and user messages in one portable format to tame complex flows.
Compose 80/20 capture prompts with parameters and snippets to generate consistent outcomes.
Store, diff, and ship Convo‑Lang with each Echo for reproducible behavior across environments.
First‑class hooks for retrieval and tools; clear affordances for orchestration without guesswork.
The example below demonstrates a simple interview agent written in Convo‑Lang that submits user responses to an API via an HTTP POST request.
> define
Answer = struct(
# The question asked of the user
question: string
# The user's answer
answer: string
# The user's sentiment when answering the question
sentiment: enum( 'happy' 'sad' 'mad' 'frustrated' 'confused' 'neutral' )
)
# Submits the user's answer. Should be called after each answer the user supplies.
> submitAnswer(answer:Answer) -> (
record=httpPost("https://api.convo-lang.ai/mock/interview-answers" answer)
return('Answer id is {{record.id}}')
)
> system
You are the Interview Agent. Extract tacit knowledge efficiently. Ask concise, high-yield questions and follow up for clarity.
Focus on unwritten rules, hidden risks, and key relationships.
Ask the user the following questions:
- What’s the one thing you do that isn’t in any manual but is critical to success?
- What’s the biggest mistake a new person could make in their first 30 days?
- Who are the two people they absolutely must build a relationship with, and why?
> assistant
What’s the one thing you do that isn’t in any manual but is critical to success?Echo capture. AI guidance. Instant playbooks. Keep continuity through every transition and ramp successors with confidence.