How engineers respond to incidents.
name: incident-response
description: Triage, mitigate, RCA.
## Procedure
1. Open `#inc-<short-id>`.
2. Assign IC + comms + scribe.
3. Mitigate first. RCA after.
4. IC posts STATUS every 10 min.
Your agents don’t lack intelligence. They lack your company.Nano learns how you actually decide — refund authority, escalation rules, pricing exceptions — and feeds that to every agent on your stack.
Connect the places knowledge lives. Meetings, Slack, tickets, runbooks, on-call notes, customer calls, email.
watching: · #ops, #payments, #cx-help · zendesk, linear, pagerduty · gmeet transcripts, runbooks/
Pull out the variables — the things that actually decide what happens. A timestamp, a person, a threshold, a fix that worked.
variables tracked: 384 decisions logged: 71 this week unresolved contradictions: 3
Put them on a knowledge graph with temporal state. Procedures, decisions, fixes, connections. Every change keeps the lineage.
graph: ▢ procedures · 38 ◇ variables · 384 → decisions · 1.2k
When someone — or some agent — has to decide, the brain returns the relevant variables, the procedure, and what was decided last time.
surfaced for: @maya · 02:14 procedure: incident-response vars: severity, last_RCA
name: incident-response
description: Triage, mitigate, RCA.
## Procedure
1. Open `#inc-<short-id>`.
2. Assign IC + comms + scribe.
3. Mitigate first. RCA after.
4. IC posts STATUS every 10 min.
name: refund-authority
called_by: support-agent · v3
decided_at: 14:21:04
## Variables (resolved at call time)
- support_cap = $50
- ops_cap = $500 (since LTV > $10k)
- escalate_above = $50
## Decision
amount=$180 → ops_cap branch → allowed
approver=@ops-lead · async-notified
post-action: write decision back to graph
Every company has a way of doing things. It lives in three engineers’ heads, a 2019 Slack thread, a macro nobody touches. The agents you ship don’t see any of it — that’s why they fail. The model is fine. It just doesn’t know that this customer is on legacy pricing, that the refund policy changed last sprint, that this incident type escalates differently. Nano writes it down. Every procedure, every variable, every decision. The brain remembers, so your agents — and your team — don’t have to guess.
Lay Sheth. Solo technical founder. AI engineer at Neosapien, software engineering specialist at x.ai. Cut production LLM inference latency 12× at Neosapien. Merged PRs in Zed and rustup. SurrealDB technical ambassador. Writing every line of Nano.
If your team ships agents that don’t know how the company actually decides things — refund authority, escalation rules, pricing exceptions — this is for you. We’re taking three design partners before closed beta.