analyzthis_design
Shipped
Design team
A task-grounded design team for ideation, critique, deliberation, verification, and human-reviewed evolution inside existing AI tools.
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Analyzthis Lab · Prepared work for small firms
Work that reaches your desk ready to sign.
A small team of specialists prepares the repeat work of your practice. You review it, change what you must, and you still make the decision.
You sign, alwaysBuilt for small firmsMeasured, not assumed
Team / example04 specialists
01
ArchivistReads your knowledge and decisions
GROUND02
PlannerBreaks work into accountable steps
PLAN03
ChallengerFinds weak assumptions before delivery
DEBATE04
VerifierChecks output against your standard
GATEShared context → one accountable outcome
2+lab products in motion
8roles in analyzthis_design
28reference datasets
6supported AI hosts
MITopen-source lab code
Lab products
Each product is a focused team.
Analyzthis ships repeatable teams as named products. When your workflow does not fit an existing product, we design a custom team using the same lab architecture.
analyzthis_product
In the lab
Product workflow team
Specialist roles for product discovery, PRD shaping, roadmap pressure-testing, and delivery-quality review—built for product managers and builders.
Ask about early accessCustom teams
Service
Built for your workflow
When your profession needs its own roster, knowledge scope, handoffs, and gates, we map the workflow and design the smallest useful team around it.
Map my workflow
The problem
Generic AI gives you generic work.
A single assistant has no durable division of responsibility, no internal challenge, and no definition of “good” that belongs to your profession.
01
It forgets context
Your standards, source material, and prior decisions are repeatedly pasted—or simply lost.
02
It agrees too easily
One model produces and approves its own work. Weak assumptions survive because nobody is assigned to object.
03
It never owns quality
There is no role-based gate, outcome history, or structured learning loop tied to your definition of done.
Our method
The lab architecture behind every product.
Whether we are shipping analyzthis_design, building analyzthis_product, or designing a custom team for your workflow, the method stays the same: encode accountability around the task.
Map my workflow01
Discover
Map the real workflow
We identify the repeated task, inputs, expert decisions, tools, failure points, and the outcome that matters.
02
Architect
Assign specialist roles
Each agent gets one allowed job, explicit boundaries, the right context, and a handoff contract—no vague “do everything” prompts.
03
Ground
Connect your knowledge
PRDs, SOPs, reference files, brand rules, research, and prior decisions become scoped context instead of one oversized prompt.
04
Challenge
Build in disagreement
Critical roles review claims, ask for evidence, and escalate deadlocks. Agreement must be earned, not assumed.
05
Verify
Gate the outcome
Your quality rules become explicit checks. The team returns a verdict, risks, and next actions—not just a polished paragraph.
06
Evolve
Learn with your approval
Accepted outputs and confirmed outcomes can propose improvements. You review every change before the team evolves.
Lab product / analyzthis_design
Our first shipped product is a Design Team.
analyzthis_design is working proof from the lab: a design team that does the work humans usually do—ideate, critique, deliberate, verify, and improve inside existing AI tools.
One team. Distinct accountability.
Kavi grounds the work. Noor and Anuj propose competing information architectures. Arjun audits UX and visual quality. Meera checks business impact. Priya sizes feasibility. Zara protects delight. Raj speaks only when the team deadlocks.
Output: structured concepts, DesignSpecs, SHIP / REVISE / BLOCK verdicts, ranked fixes, and a human-reviewed evolution loop.
Inspect the sourceKaviCollects project knowledge before opinions form.
Noor ∥ AnujProduce competing minimal and expert concepts.
ArjunChecks task friction, accessibility, hierarchy, and design-system fit.
Meera ∥ PriyaChallenge business value and implementation assumptions.
RajArbitrates only unresolved structural objections.
DeviLets the host AI voice each specialist without separate API keys.
Lab architecture
More than a folder of prompts.
These are implemented capabilities across Analyzthis lab products. The same architecture powers shipped products and the custom teams we design for clients.
Scoped project memory
Collect source material into a knowledge bank, then give each role only the context relevant to its job.
Chunked execution
A strong planner decomposes work; smaller steps route to capable local, free, or paid models before synthesis.
Adversarial review
Agents cite specific claims, raise grounded objections, and require evidence before accepting prior work.
Hard quality gates
Critical checks never downgrade. A failed standard becomes a blocker and an actionable correction.
Works where you work
Lab products support Cursor, Claude Code, Codex, Grok, Windsurf, cross-agent skills, and CLI runs.
Human-reviewed evolution
Accepted work and confirmed outcomes can suggest lessons, routing changes, and reference updates—never silently.
Built for small firms
Real teams for real firms.
We build for MSMEs—architectural studios, CA practices, clinics, and other small firms where the same work repeats every week and partners still review everything.
These are example teams, not off-the-shelf products. Each firm gets the smallest useful roster around the work humans already do—briefs, filings, follow-ups, checklists, and client updates.
Architectural firm
Drawing & submission team
Work humans usually do: turn briefs into drawing sets, track municipal submissions, and prepare site-meeting notes.
- Check drawing sets against the client brief before partner review
- Track municipal submission deadlines and missing sheets
- Compare vendor BOQs before sign-off
- Prepare site-meeting notes from field photos and mark-ups
Partner still approves every submission.
CA firm
Books & compliance team
Work humans usually do: organize client books, chase missing documents, and prepare filing packets before the partner signs.
- Organize client books before GST and audit work begins
- Flag missing invoices and ledger mismatches early
- Draft client reminder letters for pending documents
- Prepare monthly partner review packets
Partner still signs every filing.
Interior design studio
Client delivery team
Work humans usually do: build material schedules, compare vendor quotes, and keep site progress aligned with the design intent.
- Build room-wise material schedules from mood boards
- Compare vendor quotes line by line
- Track site progress against the approved design
- Prepare client presentation decks for approvals
Designer still owns the final look and client relationship.
Dental clinic
Patient care team
Work humans usually do: prepare visit summaries, track treatment plans, and keep insurance and follow-up paperwork moving.
- Prepare patient visit summaries before the doctor enters
- Track treatment plans and follow-up dates
- Organize insurance paperwork for billing staff
- Send post-visit care instructions consistently
Doctor still makes every clinical decision.
Law chamber
Case preparation team
Work humans usually do: organize case facts, track filing dates, and draft first-pass client updates for senior counsel.
- Organize case facts from client documents
- Track filing dates and court deadlines
- Draft first-pass client update emails
- Prepare hearing briefs for senior counsel review
Counsel still argues every case.
Manufacturing SME
Orders & accounts team
Work humans usually do: match purchase orders to invoices, follow up on dispatch, and flag stock and payment issues before month-end.
- Match purchase orders to incoming invoices
- Track dispatch and delivery follow-ups
- Prepare weekly stock and reorder notes
- Flag vendor payment mismatches before accounts closes
Owner still approves payments and orders.
How we measure success
We score the handoff, not the chat.
A partner, doctor, or owner was going to review the work anyway. That review is the measurement. We do not ask the firm to fill a weekly scorecard.
Was it opened at all?
If the packet is never opened, the team is already dead. Abandonment is the churn signal nobody tracks.
How much did they change?
Accepted as-is, light edit, heavy rewrite, or discarded. That is first-pass quality, and it needs no survey.
How long did review take?
Not how long the work took to prepare — how long the human spent. That is the number that converts to money.
Did it run again?
Monthly filing, weekly submission, daily list. If cycle four still runs, it works.
Team contract / exampleSigned at discovery
WorkflowMonthly GST filing prep
OwnsBooks organisation, missing-doc chase, packet assembly
Does not ownFiling, client advice, sign-off
Good looks likePartner signs in one review. No document found missing after review.
Fails whenA missing invoice is discovered post-review, or the filing date slips
Reviewed byPartner, monthly
We trackOpened / edit level / review minutes / repeat run
Weeks 1–3 are calibration. The team is tuned, not scored.
We do not grade the team in its first weeks. Everything looks rough, the firm loses nerve, and the account dies before the loop closes. Scoring starts after calibration.
Control and trust
Automation without abdication.
Lab products ship as plain source with consent-based evolution. Custom teams can follow the same principles.
Every role has allowed jobs, forbidden jobs, and an explicit output contract.
Assess-only modes and approval gates keep implementation under your control.
Use host models, local Ollama, free endpoints, or selected paid providers based on the task.
Lab products like analyzthis_design ship readable source with no hidden auto-install behavior.
Website data note:This page makes no background telemetry calls. The inquiry form saves each completed step to Airtable, including unfinished inquiries.
Questions
Before we map your workflow.
Is Analyzthis just one product?
No. Analyzthis is a lab. We ship focused team products such as analyzthis_design and analyzthis_product, and we also design custom teams when a workflow needs its own roster.
Is this a generic chatbot setup service?
No. The unit of design is the workflow: specialist roles, scoped knowledge, handoffs, failure behavior, quality gates, and outcome feedback. A chat interface may be one entry point, but it is not the architecture.
Does every workflow need many agents?
No. We use the smallest useful team. A narrow process may need two roles and one gate. Extra agents add coordination cost, so every role must earn its place.
Will you replace our current tools?
Usually not. The goal is to work inside or alongside the tools your team already trusts. Discovery includes your current software, data boundaries, and deployment constraints.
Can this run without paid model APIs?
Lab products such as analyzthis_design support a host-AI mode with no separate API keys, plus local and free-model routes. Your final setup depends on volume, privacy needs, latency, and required model quality.
How do you keep quality under human control?
We define assess-only stages, approval gates, explicit verdicts, and human-reviewed evolution. The system can recommend a change; you decide whether it becomes canonical.
What happens after I submit the form?
We review the workflow, tools, and desired outcome you describe. If the use case is a fit, the confirmation screen will invite you to book a discovery call.
Start with the workflow
What should your team take off your plate?
Tell us about one repeatable workflow. We will use the detail to prepare a focused discovery conversation—not a generic sales call.
What we collect:Your contact details and workflow answers, saved as you move through the form—even if you leave before the last step. No passwords, client-confidential documents, or sensitive personal data.
Team discoveryStep 1 of 3
Your workflow is in the queue.
Thank you. The next step is a focused discovery call to map the roles, knowledge, and quality gates your team needs.
Booking link coming soonCalendar booking is not configured yet. We will contact you using the email submitted above.