Engineering Blog
Here’s the Architecture.
01 — Why Now
On March 31, Salesforce shipped 30+ AI features for Slack, rebuilding Slackbot from the ground up as an agentic orchestration layer with MCP client integration. A week later, on April 8, Anthropic launched Claude Managed Agents in public beta — production-grade infrastructure for running autonomous agents with sandboxed execution, persistent memory, and end-to-end tracing.
The interface layer and the intelligence layer both went production-ready at the same time. That’s not a coincidence. That’s a platform shift.
Medvi
$1.8B
projected 2026 revenue. One-person telehealth startup using ChatGPT, Claude, Midjourney, and ElevenLabs in place of an entire team.
PYMNTS, April 2026
Notable Capital
500+
BD intros managed annually with a two-person team using Claude with MCP integrations.
Notable Capital, 2026
Anthropic
70–80%
of technical employees use Claude Code daily. Internal feedback hits their Slack channel every five minutes.
Cobus Greyling, Medium 2026
We’re an AI consulting firm. If we can’t run our own marketing on agents, we have no business telling PE portfolio companies they should. So we built it.
02 — The Architecture
LightCI's marketing function runs as a multi-agent system orchestrated through a single Slack channel. Three specialized agents — each built on the Claude Agent SDK — handle everything from ideation to published page.
System Architecture
Strategist
Research & Ideation
Slack Channel
Orchestration Hub
Writer
Drafting & Narrative
Builder
Visual & Code
Human seed → Strategist research → Writer draft → Builder ships → PR ready
Research & Ideation
Monitors the news cycle, identifies content opportunities anchored to real events within the last 14 days.
Produces structured briefs with source citations — no vibes, no generic "AI trends." Real events, real data, real angles.
Cross-references existing content to prevent overlap.
Never writes copy — only researches and proposes.
Drafting & Narrative
Takes the Strategist's brief and produces complete drafts — structured for the web, cited with real statistics.
Researches independently, pulling fresh data to fill gaps. Every stat is sourced. Every claim is backed.
Outcome-focused. Never talks about deploys, branches, or sprints. Talks about what the product does.
Never proposes topics — only drafts from approved briefs.
Visual & Code
Takes the Writer's narrative and builds production React components — animations, interactive elements, responsive layout.
Every piece gets bespoke visual treatment. No templates. No markdown-to-HTML.
Registers routes, adds metadata, opens PRs. Code-ready output.
Never edits narrative — only builds from approved drafts.
03 — The Handoffs
The orchestration happens in plain English. Here's what a typical content cycle looks like.
#marketing
One message. A thesis, not a task. No Asana ticket. No 30-minute kickoff.
Two human messages. A thesis and a creative direction. Everything downstream is autonomous.
2
Human messages
~17 min
Seed to PR
680
Lines of production code
04 — What Makes It Work
Anyone can wire up three Claude calls and call it a multi-agent system. Here's what separates a demo from a functioning content operation.
Each agent has a constrained system prompt that defines not just what it does, but what it refuses to do. The Strategist never writes copy. The Writer never proposes topics. The Builder never edits narrative.
LangChain's State of Agent Engineering found that quality is the #1 barrier for 32% of teams. Specialization solves quality at the system level, not the prompt level.
Slack isn't just the interface — it's the shared context. Every agent sees the full conversation history. The Builder reads the Writer's notes. The Writer reads the Strategist's sources. No lossy handoff documents.
This mirrors what Salesforce just built: Slackbot as an MCP client that orchestrates agents through conversation context. We arrived at the same architecture from a different direction.
The human makes exactly two decisions: "what should we write about?" and "which angle?" Everything downstream — research, drafting, visual design, component architecture, PR creation — is autonomous.
McKinsey's data supports this: 23% of enterprises are scaling agentic systems, but the ones succeeding keep humans at strategic inflection points while letting agents own execution.
The Strategist researches to find angles. The Writer researches to find stats. They don't just relay information down the chain — each agent independently verifies and enriches.
Same principle behind Anthropic's "ant-fooding" culture: stress-test every layer independently, don't trust the upstream output blindly.
05 — What Breaks
A 200k-token context window sounds infinite until you're on the third round of revisions and the agent starts losing track of earlier feedback. Long editorial cycles degrade quality faster than fresh drafts.
Mitigation
Start fresh sessions for major revisions rather than appending to a long thread.
The Writer will produce a stat with complete confidence that turns out to be hallucinated — a real source, a real publication, a fabricated number.
Mitigation
Verification is built into the process, but every piece requires a human review pass before publish.
Over multiple pieces, agents develop subtle stylistic tics — favorite transitions, repetitive sentence structures, predictable section patterns.
Mitigation
Voice guidelines in the system prompt help but don't eliminate drift entirely. Periodic human-authored pieces reset the baseline.
Publishing, distribution, social scheduling, paid amplification — the atoms-level work of getting content in front of people — is still manual.
Mitigation
The agents produce the content. They don't yet own the distribution. That's the next frontier.
06 — The Economics
Annual content production cost
Traditional Marketing Team
$320K–$430K
Agent-Powered Setup
$3K–$5K
reduction in direct content production costs
The output quality? In three weeks, we shipped a 3,000-word tactical playbook with a visual timeline and three-tier framework, an engineering deep-dive on agentic reliability with an interactive calculator, and this blog post. Each with bespoke React components, not templates.
One in three CMOs at companies over $20B expect to lay off significant marketing staff within 24 months because of AI. The question isn’t whether this shift happens. It’s whether you’re the one building the system or the one being replaced by it.
07 — Your Opportunity
Every PE portfolio company has the same content bottleneck: strategy lives in one person's head, execution depends on a patchwork of freelancers and agencies, and the feedback loop between 'we need a case study' and 'it's live on the site' is measured in weeks.
The agent architecture we’re running isn’t specific to marketing. The pattern — specialized agents, Slack orchestration, human-in-the-loop at decisions, autonomous execution — applies to:
Analyst agent pulls data
Narrative agent writes commentary
Visualization agent builds the deck
Research agent scans filings
Risk agent flags anomalies
Summary agent produces the memo
Triage agent classifies tickets
Resolution agent drafts responses
Escalation agent routes to humans
0%
of enterprises are experimenting with AI agents
0%
are actually scaling them
McKinsey, Global AI Survey 2025
The gap is the same one we closed: moving from “we use AI tools” to “AI tools are the team.”
The firms that figure this out during the hold period don’t just improve margins. They walk into diligence with an operating model that buyers want to acquire — because the agents come with the company.
91% of marketing teams use AI to help humans do their jobs.
We used it to redesign what the job is.
Three agents. One Slack channel.
A human who points and decides.
Everything else is architecture.
Yes, this blog post was written and built by the system it describes.
Sources & References
Anthropic, "Claude Managed Agents" launch — SiliconANGLE, April 8, 2026
Salesforce, "30+ AI Features for Slack" — TechCrunch, March 31, 2026
PYMNTS, "The One-Person Billion-Dollar Company Is Here" — April 2026
Intuition Machine, "Antfooding: How Anthropic Builds Products" — Medium, 2026
MarTech, "The Truth About Martech in 2026" — 91% AI adoption
LangChain, "State of Agent Engineering 2026"
McKinsey, "The State of AI: Global Survey 2025" — 23% agentic scaling
Anthropic, "Building Agents with the Claude Agent SDK"
Tech.co, "Companies Replacing Workers with AI in 2025–2026"
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