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AI Command Center · Since Labs
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Since every agent you run answers to one layer

Since Labs is the command center for AI agents — memory, access and mission control in one place. And the AI-native lab that proves every tool on our own company before it reaches yours.

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The Command Center

Memory. Access. Mission Control.

01 — One layer

Every agent you run, on one layer.

Your own builds, an open-source agent, an off-the-shelf assistant — it makes no difference where they came from.

OCOpenClawChief of staff
HEHermesLead researcher
ZCZeroClawBackend developer
NCNanoClawCustomer support
PCPicoClawData engineer
ICIronClawSecurity engineer
TCTrustClawRevenue ops
02 — Memory

Memory that nests.

Scope 01Its own

Every agent keeps a memory of its own work, and it grows with every run. Nothing is thrown away the moment a task ends.

03 — Access

Connect a tool once. Hand it out by role.

Anything with an MCP server — your CRM, your inbox, your database, your repo. One connection, held at the gateway.

Email
Clay
Notion
OpenAI
Perplexity
Gemini
Database
Managed MCPEveryone
Cursor
Anthropic
n8n
Meta Ads
ElevenLabs
Make
Zapier
EveryoneSalesEngineeringMarketing

Credentials never leave the control layer. Which is why your secrets stay your moat.

04 — Mission Control

Every mission. Every agent. Live.

What every agent is doing right now, in a sentence a person could have written.

24
Agents online
2
Needs you
$412
Spend today
live feedall departments
M-4471Qualify inbound from Thursday’s launchsdr-01salesreading 412 new signupsrunning$18.40
M-4468Migrate billing to the new schemabuild-01devrewriting 61 call sites in invoices/running$27.10
M-4460Reconcile failed Stripe webhooksfinance-01financewaiting on your OK — €4,120 refundneeds you$11.20
M-4457Triage the overnight Sentry spikeoncalldevgrouping 1,842 events by stack tracerunning$23.50
M-4453Renew the SOC 2 evidence packsec-01securitywaiting on your OK — new subprocessorneeds you$15.10
M-4449Clear the overnight support queuesupport-01supportstarts when support-02 frees upqueued$9.80
M-4442Onboard the two new engineerspeople-01peoplescheduled for Monday, 09:00queued—
M-4463Draft the Q3 channel reportcopy-01marketingfinished 14m ago — sent to #growthdone$12.60

Illustrative board. Your agents, your departments, your log.

Proof

Zik runs on it.

“Memory, access, control — all managed in one place.”

Zik is our own company agent, and it runs on the exact command center we sell. It reads the lab board, keeps every other agent aligned with company memory, and interrupts us mid-sentence when we get something wrong.

Runs in production

Zik has been on the platform since before the platform had a landing page. Nothing on this page is a mock-up of something we plan to build.

Reads the lab board

Every tool the lab tests lands in Zik’s company memory — so the agent recommending a tool is one that has actually used it.

Supervised from a browser

Everything Zik does shows up in Mission Control. No terminal, no log-diving, no guessing what it did overnight.

The Lab

Where the product gets proven.

44tools & workflows tested
15validated
11rejected
The Lab

What we're testing right now

Every tool — and every workflow — goes through our own operations before we recommend it.

ToolWorkflowLLM model
New5
⚙ Workflow
Automated Competitor Intelligence
n8n→perplexity→email
⚙ Workflow
AI Sales Call Analysis
fireflies→claude→n8n
⚙ Workflow
AI Contract Review Workflow
claude→n8n→notion
⚙ Workflow
AI Vendor Due Diligence
claude→perplexity→n8n
⚙ Workflow
AI Employee Onboarding Q&A Bot
claude→notion→n8n
Up Next7
n8n mcp node
MCP tool integration for n8n agents
⚙ Workflow
RAG Internal Wiki Chatbot
notion→claude
⚙ Workflow
Site Photo → ISO-Compliant Daily Diary
claude→n8n→notion
Site photos → Claude vision extracts progress + safety notes → ISO-compliant daily diary entry
⚙ Workflow
Voice Memo → Structured Project Update
wispr→claude→notion
Voice memo → transcription → Claude structures into a standardised project update in Notion
⚙ Workflow
Municipal Budget Outreach Generator
perplexity→claude→n8n
Scans municipal budget publications → identifies relevant line items → drafts tailored outreach
⚙ Workflow
Automated Proposal Generator
claude→notion→n8n
⚙ Workflow
AI Customer Feedback Analysis
claude→n8n→notion
Testing6
Hermes
Open-source agentic QA & automation
Nous Research's self-improving agent — persistent memory, skills, browser automation. Evaluating for agentic test execution (reads a test plan, drives a real browser).
⚙ Workflow
Knowledge Base Auto-Update
claude→notion
⚙ Workflow
Hilma Tender Intel Brief
n8n→claude→notion
Pulls new Hilma procurement notices → Claude scores fit + drafts a go/no-go brief into Notion
⚙ Workflow
Inbox → Action Queue
claude→n8n→notion
Inbound email → Claude triage → structured action items pushed to a Notion task queue
⚙ Workflow
Meeting → Action Pipeline
notion→n8n→claude
All notes filed, action items created automatically — saves ~45 min/day
⚙ Workflow
Slack-to-Notion Knowledge Base Builder
claude→notion→n8n
Slack messages → n8n → Claude summary → Notion wiki entry, automated daily
Validated15
◎ Model
claude-sonnet-4-8
Anthropic · Reasoning & writing
Primary model for all Since Labs production workflows. Best instruction-following at scale.
◎ Model
claude-haiku-3-8
Anthropic · Fast & affordable LLM
Best cost-to-speed ratio for high-volume classification, routing, and extraction tasks
◎ Model
gemini-2.5-flash
Google · High-throughput multimodal LLM
1M context, native audio/video, 20x cheaper than Sonnet — best for high-volume pipelines
◎ Model
gpt-4o
OpenAI · Multimodal flagship
Strong vision capabilities; useful for eval comparison and multimodal pipelines
◎ Model
deepseek-r1
DeepSeek · Open-source reasoning LLM
Best open-source reasoning model — strong for math, code, and structured logic
◎ Model
deepseek-v3
DeepSeek · Open-source frontier LLM
Strong general-purpose open-source model at near-zero inference cost when self-hosted
ElevenLabs
Voice generation & TTS
Claude Code
Agentic coding CLI
Best for full-repo refactors, autonomous dev tasks, and MCP-integrated agent loops
n8n
Self-hosted workflow automation
Core orchestration layer for all Since Labs AI agent stacks. Cheapest at scale.
perplexity
AI-powered research & search
notion AI
Knowledge management
Good for wikis and quick lookups; use custom RAG for production agent workflows
notion AI meeting notes
AI meeting documentation
Validated for async meeting docs — not strong enough to replace dedicated transcription
gemini
AI assistant & research
Strong for long-context document analysis and multimodal tasks via the web interface
supabase pgvector
Vector database & backend
Preferred vector store for all Since Labs RAG pipelines — pgvector on managed Postgres
⚙ Workflow
RAG Document Q&A Pipeline
claude→supabase→voyage ai
Core Since Labs RAG template — PDF/URL → Firecrawl → Voyage embeddings → pgvector → Claude
Skip11
◎ Model
gpt-4.5
OpenAI · Multimodal LLM
Marginal gains over GPT-4o at significantly higher cost — not worth it for most workflows
◎ Model
llama-4-maverick
Meta · Open-source frontier LLM
Claude Sonnet wins on instruction following and tool use; use only if self-hosting is required
◎ Model
llama-4-scout
Meta · Efficient open-source LLM
Smaller Llama 4 variant — outclassed by Haiku 3.5 on instruction following
◎ Model
llama-3.1-405b
Meta · Large open-source LLM
Previous gen; superseded by Llama 4 — self-hosting cost not justified vs. API alternatives
◎ Model
mistral-small-3.1
Mistral · Efficient open-source LLM
Good but Claude Haiku wins on instruction following at similar price points
◎ Model
qwen-2.5-max
Alibaba · Open-source frontier LLM
Competitive but harder to deploy reliably vs. Claude or DeepSeek alternatives
◎ Model
phi-4
Microsoft · Small language model
Impressive for size but not a replacement for frontier models in production workflows
◎ Model
gemma-3-27b
Google · Open-source LLM
Good open-source option but Gemini 2.0 Flash API is cheaper and more capable
make.com
Workflow automation
Replaced Zapier for anything beyond 2-step flows
zapier
Simple trigger automations
Best for simple 2-step integrations only
OpenClaw
Open-source personal AI agent
Local-first messaging-channel agent (WhatsApp/Telegram/etc). Fun, but n8n + Claude covers our automation needs with better control and auditability.

26 tools evaluated — full notes, weekly updates, and our reasoning for every rejection.

View the full lab board →
Services

How we work together

One focused engagement to find where AI removes real work from your team — then the support to act on it.

01AI AuditFixed scope

“Walk away with a prioritized map of every hour AI can give back.”

We find exactly where AI can eliminate work in your company — then help you understand and act on what we found.

What's included
  • Full workflow analysis
  • Gap identification report
  • Step-by-step implementation plan
  • Live Q&A support
Why Since Labs

We don't recommend tools we haven't used.

The problem with AI consultants

Most AI agencies will show you a deck of 40 tools and tell you to "explore the possibilities." You leave with homework, not a plan.

We run every tool through our own company operations first — finance, client work, ops, hiring. If it doesn't hold up under real workloads, it doesn't reach your company.

01 — HOW WE FIND GAPS

Deep workflow analysis. We map every repetitive, high-volume task your team runs — looking for patterns, bottlenecks, and places where humans are doing what software should.

02 — WHAT YOU GET

A full audit report. Problems found, validated tools that solve them, and a step-by-step plan written for your specific stack and team size.

03 — HOW THE ENGAGEMENT WORKS

First, diagnosis. We map the gaps. Then, support. We answer every question about the report, adjust the plan, and unblock your team.

The Audit

What happens, step by step

01
Workflow discovery

We interview your team and map every repetitive, high-effort task. Nothing is off limits.

02
Gap analysis

We cross-reference your workflows against validated tools and identify exactly where time and money are being burned.

03
Report delivery

A full audit lands in your inbox: every gap found, the recommended tool, and an implementation plan your team can execute.

04
Implementation support

We're live to answer any question about the plan. Adjustments, clarifications, unblocking — whatever it takes.

We start whenever you're ready.

Start here

Ready to see what your agents are actually doing?

Get a demo of the command center — or start with an audit of the work your team still does by hand.