Stratezik, Toronto
AI agent development and automation

Most agencies sell AI services. We run on one.

Every blog post, every email sequence, and every client brief on this site was produced by a five-agent organisation that works for our agency twenty-four hours a day. Below is what it does, how it actually works, and why you can see the whole thing before you commit to anything.

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AI agent development Toronto. AI-rendered image.
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Reference build · live in production

Five agents. Defined roles. Real handoffs.

Founder briefs C1. Production fans out to R1, W1, and S1. Q1 gates everything external before publish. This is the system behind the content on this site.

INPUTSTRATEGYPRODUCTIONGATEOUTPUTFounder / BriefC1Strategy LeadR1Research AnalystW1Content WriterS1Outbound SDRQ1QA GATEAPPROVED → PUBLISHED
The bet

We will not recommend an architecture for your business that we have not lived in ourselves.

“If we hired five marketers to do what our agents do, we would be a different and worse business.”

Most AI consultancies pitch you a vision. We can do something rarer: show you the working system, in production, that we use to run our own agency. Every decision we make about your build comes from operating ours.

The agent org you are about to meet wrote the AI-native GTM series, replied to your last cold email if you got one, scored your company against our ICP if you have asked us anything, and reviewed itself before any of it left the building.

Meet the team

Each agent has one job.

A context pack it reads before acting, and a clear line about what it can and cannot decide on its own. The founder owns voice and judgement. The system owns throughput.

R1

Research Analyst

Prospect intelligence

Researches companies, scores them against the Stratezik ICP model, identifies signals and best contact, recommends an outreach angle.

  • Builds full company briefs with ICP fit score 0 to 100
  • Surfaces digital gaps: weak GBP, no ads, stale site
  • Flags Quebec-HQ companies and disqualifications automatically

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S1

Outbound SDR

Cold email sequences

Writes three-touch email sequences from a research brief, on voice, CASL-compliant, with the kind of specific opener that earns a reply.

  • T1 / T3 / T5 cadence with personal friction at T3
  • Subject lines under 8 words, no agency clichés
  • CASL footer baked in; consent basis documented

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W1

Content Writer

Blogs, landing copy, ad copy

Long-form posts, landing pages, ad creative, all written in the Stratezik voice with answer-first structure and AEO build rules from day one.

  • 1,500 to 4,500 word blog posts with FAQ schema candidates
  • Landing pages with hero, features, proof, CTA inside skill rules
  • Sidecar JSON metadata for every output, ready for the CMS

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Q1

QA Reviewer

Gates everything external

Reviews every artifact against voice rules, claims fence, and SEO format gates before it can be published, sent, or shared.

  • Claims check: every stat sourced, no fabricated metrics
  • Voice compliance: banned phrases, em-dash budget, AI tells
  • SEO format gates: title ≤60, meta ≤155, Canadian English

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C1

Strategy Lead

POVs and positioning

Strategic briefs, market POVs, and positioning recommendations. Takes a stance and defends it instead of producing a list of options.

  • Structured strategy briefs: TL;DR, evidence, POV, plays
  • Anchored in the founder's expertise, not a textbook
  • Built on top of R1 research and W1 content where relevant

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How work moves

Every handoff is a file. Q1 gates everything external.

No freeform chat between agents. Work is written to a known folder; the next agent picks it up and writes to the next folder. The whole thing is auditable.

content/queue/ticket briefW1 draftswrites blog + sidecar JSON→ content/drafts/Q1 reviewsvoice / claims / SEO→ qa/reviews/approve→ content/approved/founder → publishrevise→ back to W1numbered fix listevery action logged → audit/YYYY-MM-DD.jsonl

Step 1

Ticket in, brief written

A founder request becomes a structured ticket in the queue. Every required field is checked before any agent acts.

Step 2

Q1 reviews against the rubric

Voice, claims, compliance, SEO. The verdict is approve, revise, or reject. Revise comes with a numbered fix list.

Step 3

Founder sign-off, then publish

Approved files move to the approved folder. Founder signs off. Published via the CMS or sent via the relevant channel.

What it produces

Real output from a recent operating day.

These numbers are from a single session of the agent org doing what it does. Quality reviewed by Q1 before anything was approved.

50,000+

words of approved long-form content

21

service landing pages in a parent-child SEO cluster

18

cold email sequences across six prospect briefs

0

fabricated statistics, banned phrases, or claims violations

Recent work

A sample of what the system has produced.

Every piece was researched, drafted, reviewed, revised, and approved through the same handoff chain shown above.

Behind the scenes

The architecture that makes the agents work.

Agents on their own are interesting. Agents inside a real operating system are useful.

Context packs

Voice rules, ICP, services, case studies, claims fence, SEO guidelines. Read in a defined order before any agent acts.

Audit log

Every action (drafted, revised, reviewed, approved, sent) appended to a daily JSONL file. The full chain is replayable.

Claims fence

What we can say, what we cannot, and which case studies have consent on file. Hard-coded into every external piece.

MCP integrations

Tools agents can call: web search and fetch, Supabase, Google Search Console, Docs, Sheets, CRM connectors, GitHub.

Evals + golden sets

Every agent has a rubric and a golden set of approved outputs. Quality is measured against the rubric, not just vibes.

Per-client workspaces

Each client has an isolated folder with its own voice pack and context. Stratezik agents never leak data across workspaces.

For your business

What an agent org gives you that a head count cannot.

You are not buying replacement labour. You are buying a structural advantage that compounds while you sleep.

10×

Throughput

The agent org produces in one operating day what a small marketing team produces in two to three weeks. The throughput is real, not a slide.

Consistency

Voice rules, claims fence, and SEO gates apply to every piece automatically. Q1 catches what tired humans miss at 4pm on a Friday.

Runway

One senior orchestrator plus the agent layer replaces three to five marketing hires. For a startup that translates directly into months of runway.

See the build

The reference build is open. We will walk you through it before you commit.

Stratezik builds custom agent organisations for founders and operators who want to scale without scaling headcount. The system above is what powers our agency. We can build a version that powers yours.

What you get

  • An agent org designed for your business, not a generic chatbot.
  • Context engineering that turns your operating knowledge into an asset agents can use.
  • Tool and MCP integration with your CRM, email, code repos, and any system with an API.
  • Eval design and a golden set so you can measure quality, not vibes.
  • A real handoff that teaches your operators how to run the system.

How we do it

Two main shapes of engagement, depending on where you are:

  • AI Strategy — Org-chart design, context engineering, and the roadmap to deploy. For founders deciding what to automate first.
  • Agent Development — End-to-end build of a single agent or a full agent org. For teams ready to ship.

A single-agent build typically runs two to four weeks. A full agent org build runs eight to sixteen weeks. Every engagement ends with a working system, audit logs, and an operator who can manage it without us.

This is also Stratezik's highest-value and most differentiated service, which is reflected in our AI-Enabled Bundle, where AI agents can sit underneath any of our other services to make them faster and more consistent.

Common questions

Is this a chatbot? No. Chatbots answer questions. Agents take actions: they research, draft, review, route, and hand off. The result looks more like a small team than a search box.

What can an agent actually do for my business? That depends on your operations. Common targets: research, content production, outreach, QA, reporting. We start with what is repeatable and high-value.

Can I see your system before I commit? Yes. The reference walkthrough is part of how we sell this service, because seeing it work is the strongest pitch we have.

Ready to run more of your business through agents?

Tell us where your team's time goes, and we will tell you, honestly, what an agent build could and could not change. Email dave@stratezik.com or request a quote.