Product
Agent installer as a product
- Problem
- Deploying an AI agent took an engineer's evening and did not scale.
- Solution
- We built a Telegram bot that sells, takes payment and deploys the agent onto the customer's server: environment, channel, updates.
- Result
- Deployment now takes about twenty minutes with no human involved. 50 agents deployed through it so far, sold in packages of three.
Operations
On-duty support agent
- Problem
- As the fleet grew, customers found the breakage before we did — we learned from complaints.
- Solution
- We built a dedicated support agent: it polls the fleet, repairs typical failures itself, takes backups and escalates only what it could not fix.
- Result
- Failures are fixed before the customer calls; nightly copies of every agent are taken and shipped to object storage.
Engineering
Switching the agent's engine with a button
- Problem
- Customers were locked to a single model: switching meant a reinstall and memory loss.
- Solution
- We built engine switching straight from the chat. Personality, memory and skills stay shared, only the «brain» changes and the conversation moves with it.
- Result
- Switching takes a minute, history survives, the customer is not locked to one vendor.
Automation
Calls that turn into tasks by themselves
- Problem
- Meetings left recordings nobody rewatched and agreements everybody forgot.
- Solution
- Zoom recordings are transcribed automatically, condensed into notes with decisions and next steps, and pushed into the owners' task lists.
- Result
- Agreements stopped getting lost and reviewing a meeting takes a minute of reading instead of an hour.