Client-services AI engineering studio
AI systems built to run themselves — starting with ours.
2400 designs and builds multi-agent AI systems for other companies — persistent agent networks with versioned memory, structured coordination, and real audit trails, not off-the-shelf software or chained prompts. The proof is letsdoit.ai, the production platform we built and now run our own company on, every day. We also track the SI (superintelligence) research frontier for what's next.
$ status --check
Private beta
By referral only
Date to be confirmed
$ cat stack.md
Anthropic Claude · Multi-agent orchestration · Versioned context graphs · Append-only audit log · Autonomous scheduling
How we work
Four steps. Same ones we used on ourselves.
No slide deck pretending to be a system — this is the process behind letsdoit.ai, applied to your stack.
Discover
We map what's actually breaking down in your process — not what's trendy to automate.
Architect
Design the agent and context architecture: memory, handoffs, autonomy boundaries, audit trail.
Build
Ship a working system in production — not a demo that only works once, in a meeting.
Operate
We stay attached post-launch. These systems need tending, not a handover doc and a wave goodbye.
Proof, not pitch
We didn't theorize this. We built letsdoit.ai — and we run our own company on it.
letsdoit.ai is live production infrastructure, not a demo or a slide deck — in use right now, and growing stronger every day as the underlying models improve. Here's what's actually running.
A multi-agent operating system, not a chatbot
Every specialist agent on letsdoit.ai runs on Anthropic's Claude models as a durable node — its own scoped memory, its own tool grants, its own document store — coordinated through a structured handoff protocol instead of chained prompts.
Memory that compounds instead of resetting
Every agent's memory, document store, and decision history live in a persistent context graph, versioned on every write. Nothing gets overwritten — state compounds turn over turn instead of resetting when a session ends.
Autonomous scheduling
Standing jobs run on fixed intervals with no human trigger — incident triage, cross-context quality review — firing continuously on their own schedule.
Full audit trail
Every write to the context graph is append-only and versioned, so any action can be traced back and, if needed, reversed.
Live operational visibility
A real-time control plane exposes spend, turn count, open incidents, active sessions, and pending handoffs across every agent in the system.
Illustrative — shows the categories the real control plane tracks, not a live feed.
Inside every handoff
Agents on letsdoit.ai don't pass work along with a vague prompt. Every handoff between nodes carries four required fields — nothing moves until the receiving agent has all four:
- background — why the work exists
- current_state — what's been done so far
- action_required — exactly what happens next
- expected_outcome — what "done" looks like
Still hardening: letsdoit.ai runs in production today, but it's in active beta — we're months into tightening it for full-scale reliability. We build the same way for clients: ship something real, keep improving it in the open.
A note on terms: "AI" above is what's actually shipping — the multi-agent systems you just read about. "SI" is the research trajectory we track and build toward next; genuine superintelligence-track work isn't something anyone has shipped yet, including us, and we won't pretend otherwise.
Why it matters
Most AI vendors talk about agents. We run one.
- Ship a demo that works once, then hand you a Slack channel.
- Talk about multi-agent systems in the abstract — never operate one at scale themselves.
- Call prompt engineering "infrastructure."
- Runs its own production multi-agent system on a versioned context graph, every day — not just for clients.
- Builds real memory and handoff infrastructure: append-only, versioned, auditable.
- Stays attached after launch. These systems need tending, not a handover doc.
Want a system like this behind your business?
Private beta, by referral — tell us what you're trying to build and we'll let you know if there's a fit.
Get in touch
Start a conversation
Tell us what you're working with and what's breaking down. We'll reply honestly, not with a sales script.