# Hiring Make.com specialist for multi-client content automation SaaS - AI APIs + Airtable + publishing workflows **URL:** \ **Category:** Hire Help\ **Tags:** ai-agent, functions, airtable, api, ai, mapping\ **Created:** [February 18, 2026, 9:44am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804 "2026-02-18T09:44:18Z")\ **Posts on this page:** 17\ **Page:** 1
**Author:** ![Christian\_Tekwe](https://avatars.discourse-cdn.com/v4/letter/c/4491bb/32.png) [@Christian\_Tekwe](https://community.make.com/u/Christian_Tekwe)\ **Post date:** [February 18, 2026, 9:44am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/1 "2026-02-18T09:44:18Z")
### šŸŽÆ What is your goal? Build a 3-module [Make.com](http://Make.com) pipeline for ProductBuilder SaaS: (1) Research & validation with Claude API scoring, (2) Content blueprint generation, (3) Multi-format content creation (YouTube scripts, eBooks, Pinterest pins, email sequences) with automated distribution. Need parameterized architecture for 20+ health & wellness creator clients, each with unique niche keywords and content preferences. ### šŸ¤” What is the problem & what have you tried? Building a SaaS platform that automates digital product creation for health professionals. Need [Make.com](http://Make.com) expert who understands multi-client parameterization - NOT separate scenarios per client, but dynamic variable mapping. Must integrate Claude API, Airtable triggers, Canva API, Google Docs templating, and storefront APIs (Gumroad/Payhip). Looking for specialist who has built similar multi-tenant automation workflows. Budget: $500-1500, Timeline: 2 weeks. Can start immediately. Architecture question: How would you structure scenarios to serve 20+ clients with different niche keywords without building duplicate workflows? ---
**Author:** ![Pathfinder\_Automate](https://dub1.discourse-cdn.com/flex013/user_avatar/community.make.com/pathfinder_automate/32/92144_2.png) [@Pathfinder\_Automate](https://community.make.com/u/Pathfinder_Automate)\ **Post date:** [February 18, 2026, 9:56am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/3 "2026-02-18T09:56:05Z")
Hello @Christian_Tekwe , welcome to [make.com](http://make.com/) community, I have worked and have experience with [Make.com](http://make.com/) and l will love to collaborate with you on this you can schedule a call [Here](https://calendly.com/taiwo-pathfinderautomationsolutions/30min) and you can checkout my upwork profile [Here](https://www.upwork.com/freelancers/~01446d60f782215efa), for my pastworks and certifications ---
**Author:** ![Gabriel\_Akinola](https://dub1.discourse-cdn.com/flex013/user_avatar/community.make.com/gabriel_akinola/32/83825_2.png) [@Gabriel\_Akinola](https://community.make.com/u/Gabriel_Akinola)\ **Post date:** [February 18, 2026, 9:57am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/4 "2026-02-18T09:57:38Z")
Hi, This is exactly the type of system I would design as a parameterized, multi-tenant architecture in Make rather than building separate scenarios per client. The core principle is one shared pipeline, with client-specific configuration stored in data instead of logic. Architecture Approach 1. Central Client Configuration Layer (Airtable) I would create a dedicated ā€œClient Configā€ table containing: - Client ID - Niche keywords - Tone and voice preferences - Preferred content formats - Distribution channels - Branding variables - Any client-specific API keys Every execution begins by retrieving the Client Config dynamically using the Client ID from the trigger. All prompts, routing decisions, and template selections are driven by this configuration, not hardcoded logic. This makes the system fully multi-tenant. 1. Scenario Structure I would structure this into three modular scenarios: Scenario 1 ā€“ Research & Validation Trigger: New idea in Airtable - Fetch Client Config - Build dynamic Claude prompt using niche keywords and scoring criteria - Store structured validation score and recommendations back in Airtable Scenario 2 ā€“ Content Blueprint Generation Trigger: Status = Validated - Retrieve idea + client preferences - Generate structured outline (modules, hooks, sections) - Save structured JSON blueprint Scenario 3 ā€“ Multi-Format Content Creation & Distribution Trigger: Blueprint Ready - Fetch Client Config - Use a Router with conditional filters based on selected formats For example: - If format includes YouTube ā†’ generate script - If format includes eBook ā†’ populate Google Docs template - If format includes Pinterest ā†’ trigger Canva API - If distribution includes Gumroad/Payhip ā†’ call storefront API Each branch is controlled by filters tied to the clientā€™s configuration record. No duplication is required. Adding a new client simply means adding a new row in Airtable. Production Considerations - Use record IDs for idempotency to prevent duplicate runs - Structured error logging in Airtable - Controlled retries for Claude and Canva API calls - Modular separation of research, blueprint, and content layers for maintainability This approach keeps the architecture scalable and maintainable while supporting 20+ creators with different niches and preferences using a single shared workflow. Iā€™m comfortable building SaaS-ready automation systems with this type of parameterized structure within your stated timeline. Best regards, Fopefoluwa Akinola [fopefoluwaakinola@gmail.com](mailto:fopefoluwaakinola@gmail.com) ---
**Author:** ![Farhan\_Ahmed](https://avatars.discourse-cdn.com/v4/letter/f/b5a626/32.png) [@Farhan\_Ahmed](https://community.make.com/u/Farhan_Ahmed)\ **Post date:** [February 18, 2026, 1:30pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/5 "2026-02-18T13:30:02Z")
Hey Christian, As an automation expert, I can help you build the multi-module [Make.com](http://Make.com) pipeline you need for ProductBuilder SaaS. With my experience in [Make.com](http://Make.com), I can design a parameterized architecture that allows you to serve 20+ health & wellness clients with unique niche keywords and content preferences, without the need to duplicate workflows for each client. šŸ“„ Check my profile:[https://www.upwork.com/freelancers/farhana401](https://www.upwork.com/freelancers/farhana401) šŸ“ž Book a quick call:[Calendly - Automaxion](https://calendly.com/automaxion-meet) ---
**Author:** ![Colin](https://avatars.discourse-cdn.com/v4/letter/c/e19b73/32.png) [@Colin](https://community.make.com/u/Colin)\ **Post date:** [February 18, 2026, 1:45pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/6 "2026-02-18T13:45:41Z")
Hi Christian, I work with Make pretty regularly and have a good handle on the kind of multi-tenant architecture you are describing. Would be happy to jump on a quick call to talk through how I would approach this. You can reach out to me on my [email here](mailto:colinwilliams8254@gmail.com) Colin ---
**Author:** ![Hashlogics](https://dub1.discourse-cdn.com/flex013/user_avatar/community.make.com/hashlogics/32/87851_2.png) [@Hashlogics](https://community.make.com/u/Hashlogics)\ **Post date:** [February 18, 2026, 4:31pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/7 "2026-02-18T16:31:36Z")
You donā€™t duplicate scenarios ā€” you build one ā€œengineā€ scenario and drive everything off a client config record. Iā€™d structure it like this: Airtable is the source of truth with a **Clients** table (API keys/brand voice/niche keywords/templates/storefront settings) and a **Jobs** table (request type: research/blueprint/content, status, payload, outputs). One Make scenario triggers on a new Job, looks up the client config, and then routes into the three modules as callable sub-scenarios: (1) Research/validation calls Claude with the clientā€™s niche + scoring rubric and stores structured scores back to Airtable, (2) Blueprint generation writes a standardized outline into Google Docs using templating blocks, (3) Content creation loops through requested formats (YouTube/eBook/Pinterest/email) using the same prompt skeleton but parameterized by client preferences, then pushes assets to Canva/Docs and distributes to Gumroad/Payhip or a delivery folder. To keep it multi-tenant and stable, every run uses a **client\_id + job\_id** key for idempotency, all AI outputs are forced into strict JSON schemas (so downstream steps donā€™t break), and you cache deterministic steps (e.g., niche research results) per client to reduce Claude cost. This approach scales to 20+ clients because you only add rows in Airtable ā€” not new scenarios. If you want, I can share a concrete Airtable schema (fields) and the exact Make routing pattern that keeps this clean and maintainable. šŸŒ Portfolio: [https://hashlogics.com/portfolio](https://hashlogics.com/portfolio) šŸ“‚ Case Studies: [https://drive.google.com/file/d/1Ace8kGEDlAXbScKwezalrV5aSESY4B9p/view?usp=sharing](https://drive.google.com/file/d/1Ace8kGEDlAXbScKwezalrV5aSESY4B9p/view?usp=sharing) ā­ Clutch Reviews: [https://clutch.co/go-to-review/dccee634-cafd-4e69-82c1-95dde71a8493/408370](https://clutch.co/go-to-review/dccee634-cafd-4e69-82c1-95dde71a8493/408370) šŸ“… Book a call: [https://calendly.com/\_hashlogics/abdul-basit](https://calendly.com/_hashlogics/abdul-basit) > **[AI-Powered Custom Software Development | HashLogics](https://hashlogics.com)** > > Build AI agents, RAG pipelines & LLM-powered software with HashLogics. From intelligent automation to custom AI solutions ā€” book your free consultation today. ---
**Author:** ![Folafoluwa\_Olaneye](https://dub1.discourse-cdn.com/flex013/user_avatar/community.make.com/folafoluwa_olaneye/32/91924_2.png) [@Folafoluwa\_Olaneye](https://community.make.com/u/Folafoluwa_Olaneye)\ **Post date:** [February 18, 2026, 6:20pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/8 "2026-02-18T18:20:35Z")
Hi Christian, Welcome to the community. This is exactly the type of multi tenant architecture I design using a centralized configuration driven approach instead of duplicating scenarios per client. I would structure it as follows: 1 )A master orchestration scenario triggered via webhook or Airtable event. 2.)Airtable acting as the client configuration layer storing niche keywords, content preferences, API parameters, storefront mappings, and publishing rules. 3.)Client ID based routing logic to dynamically inject variables into each module rather than building separate workflows. 4.(Modular sub scenarios for research and validation with Claude API scoring, content blueprint generation, multi format production, and automated distribution. 5.)Structured data mapping to allow personalized content generation per client through dynamic parameter injection. 6.(Centralized logging and monitoring to track execution, failures, and performance across all tenants. This architecture keeps the system scalable, avoids duplication, and allows onboarding new creators by simply adding configuration entries rather than rebuilding workflows. You can view related automation projects [here.](https://mavin-collins.my.canva.site/folafoluwa-ai-automation-website-portfolio) If you would like to discuss the build structure, timeline, and execution plan in detail, feel free to reach out via email([folafoluwaolaneye@gmail.com](mailto:folafoluwaolaneye@gmail.com)) or book a [call.](https://cal.com/folafoluwa-olaneye-osrofp/30min) For secure and official collaboration, we can also proceed through my [Fiverr workspace](http://www.fiverr.com/s/o8rbqXN) workspace. Best regards, Folafoluwa Stephen Flowedge Digitals ---
**Author:** ![Priyanshu\_Kumar](https://avatars.discourse-cdn.com/v4/letter/p/e47774/32.png) [@Priyanshu\_Kumar](https://community.make.com/u/Priyanshu_Kumar)\ **Post date:** [March 1, 2026, 6:50pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/9 "2026-03-01T18:50:18Z")
Your architecture question is the right one to ask ā€” and the answer is config-driven parameterization, not scenario duplication. \*\*How Iā€™d structure the multi-tenant architecture:\*\* Single Airtable ā€œClient Configā€ table as the source of truth ā€” each row contains: client ID, niche keywords, tone preferences, content format flags, distribution channels, and API credentials. Every scenario starts by fetching the active clientā€™s config row, then dynamically injects those variables into prompts, routing decisions, and output templates. Adding client #21 is literally adding a row, not cloning a scenario. \*\*Module-by-module approach:\*\* \*\*Module 1 ā€” Research & Validation (Claude API):\*\* This is where I have the strongest edge. I work with the Claude API daily and have built structured scoring pipelines that return consistent JSON ā€” not freeform text that breaks downstream routing. The key is using Claudeā€™s system prompt to define a scoring rubric specific to each clientā€™s niche (pulled from config), then enforcing structured output with explicit JSON schema. The validation score, reasoning, and recommendations get written back to Airtable as structured fields, not a blob of text. \*\*Module 2 ā€” Content Blueprint:\*\* Template-driven generation where the blueprint structure is defined per content format. Claude generates section-by-section outlines with word count targets, hook variations, and CTA placement ā€” all parameterized by client preferences. Output is structured JSON that Module 3 can consume directly. \*\*Module 3 ā€” Multi-Format Creation & Distribution:\*\* Router with conditional filters based on the clientā€™s enabled formats. Each branch (YouTube script, eBook, Pinterest, email) pulls from the blueprint JSON and applies format-specific templates. For Canva API ā€” batch generation using template IDs mapped per client. For Gumroad/Payhip ā€” product creation via their REST APIs with client-specific storefront credentials from the config table. \*\*Production considerations for 20+ clients:\*\* - Execution queue with client ID tracking to prevent rate limit collisions across simultaneous runs - Idempotency on Airtable record IDs to prevent duplicate content generation - Per-client operation budgeting so one clientā€™s large batch doesnā€™t consume anotherā€™s quota - Structured error logging with client context for fast debugging \*\*About me:\*\* - Founder of Evara AI (incubated at IIT Bhubaneswar) ā€” custom automation and AI systems - Claude API is central to the systems I build ā€” Iā€™ve architected multi-API pipelines with structured JSON processing, conditional routing based on AI analysis, and automated distribution - 1.5+ years of production API integrations - Time zone: IST (UTC+5:30), available 20+ hours/week Happy to walk through the architecture on a call. Reach me at: [priyanshukumarmaurya2224@gmail.com](mailto:priyanshukumarmaurya2224@gmail.com) ---
**Author:** ![Sergey2](https://avatars.discourse-cdn.com/v4/letter/s/f14d63/32.png) [@Sergey2](https://community.make.com/u/Sergey2)\ **Post date:** [March 13, 2026, 6:09am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/10 "2026-03-13T06:09:01Z")
Hi, The hard part in a multi-client content automation SaaS is not generating content, but making the architecture parameterized enough that one clientā€™s prompts, keywords, and publishing rules do not leak into another clientā€™s flow. That usually means clean tenant configuration, reusable modules, strict schema handling for AI outputs, and a publishing layer that is easy to debug when one platform fails. This looks like a strong fit for building one reusable pipeline first and then scaling it across your client set. If you are still hiring, I would be comfortable taking the initial implementation as a paid build. ---
**Author:** ![mikedev](https://dub1.discourse-cdn.com/flex013/user_avatar/community.make.com/mikedev/32/89712_2.png) [@mikedev](https://community.make.com/u/mikedev)\ **Post date:** [March 26, 2026, 9:42am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/11 "2026-03-26T09:42:08Z")
**Hi there,** Iā€™ve reviewed your request for the ProductBuilder SaaS. Building a single, parameterized engine for 20+ unique clients is exactly how I approach high-scale automation. I donā€™t build ā€œscenarios per clientā€ā€”I build **Data-Driven Workflows**. **Answering your Architecture Question:** To serve 20+ clients without duplication, I implement a **ā€œCentral Hub & Client Profileā€** architecture: 1. **The Database (Airtable/Supabase):** Each client has a record with their unique niche keywords, Claude API prompts, brand voice, and API keys (Canva/Gumroad). 2. **The Dynamic Trigger:** When a new product is requested, the Webhook/Airtable trigger passes a `ClientID`. 3. **The Variable Mapping:** The Make scenario uses a single ā€œGet Client Profileā€ module at the start. Every subsequent step (Claude scoring, Canva templates, distribution) uses variables mapped from that initial lookup. 4. **Router Logic:** I use filters and routers to handle specific client preferences (e.g., ā€œIf Client A prefers Pinterest, route to Pinterest moduleā€). **How I will build your 3-Module Pipeline:** - **Module 1 (Research):** Claude API integration with structured JSON output for precise scoring and niche validation. - **Module 2 (Blueprint):** Dynamic template generation in Google Docs using pre-set placeholders for health professionals. - **Module 3 (Multi-format):** Scalable distribution to Canva (via API for pins/eBooks) and storefronts like Gumroad/Payhip using unique client credentials. **Experience:** Iā€™ve built similar multi-tenant systems using **n8n and [Make.com](http://Make.com)**, handling complex JSON transformations and fault-tolerant API calls. Iā€™m comfortable with your 2-week timeline and can start immediately. **Portfolio:** [https://mikedevai.netlify.app/](https://mikedevai.netlify.app/) **Direct Contact:** @hely\_chatbots (Telegram) ---
**Author:** ![TinyOpsStudio](https://avatars.discourse-cdn.com/v4/letter/t/7bcc69/32.png) [@TinyOpsStudio](https://community.make.com/u/TinyOpsStudio)\ **Post date:** [May 17, 2026, 2:14pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/12 "2026-05-17T14:14:02Z")
I would build the first version around one client configuration and one content job, then turn that into the reusable pattern for the other clients. For this stack, the key is a stable job record in Airtable, a clear client-config schema, and separate callable scenarios for research scoring, blueprint generation, and asset creation. Each module should write a status, output link, cost/error note, and retry state back to the same job row so a failed Claude/API or publishing step does not leave the workflow half-finished. TinyOps Studio can quote a fixed first slice: one client config in, one content job through research, blueprint, and one publishable output path, with the handoff notes and expansion pattern included. If this is still open, DM me one representative client config and the first output format you want to prove, and I can scope the pilot. ---
**Author:** ![Carlos\_Silveira](https://dub1.discourse-cdn.com/flex013/user_avatar/community.make.com/carlos_silveira/32/91807_2.png) [@Carlos\_Silveira](https://community.make.com/u/Carlos_Silveira)\ **Post date:** [June 6, 2026, 1:37pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/13 "2026-06-06T13:37:31Z")
Hi Christian, if this is still open, I would approach it as a configuration-driven Make architecture rather than one scenario per client. I am Carlos Silveira, based in Spain/CET. My fit here is Make/API workflow design, Airtable data modeling, Claude/OpenAI structured outputs, Google Docs/Canva-style templating, webhook/API glue, logging and handoff documentation. For the 20+ client problem, I would structure it around a Clients table and a Jobs table in Airtable. Each client record holds niche keywords, tone, formats, channels, template IDs, storefront settings and account/API references. Each job record holds client\_id, requested module, status, input payload, output links and error state. One dispatcher scenario loads the client config, routes to callable sub-scenarios, and writes every output/error back to the Job record. The important part is strict JSON schemas for Claude outputs, so Canva, Docs and storefront steps receive predictable fields instead of free-form text. That also makes testing one client config reusable for the next client. Inside the 500-1,500 USD range, I would fund one milestone that proves the architecture with one or two client configs and one working module end to end, then expand formats and distribution after acceptance. Question: which module matters most for the MVP: research validation, content blueprint generation, or multi-format publishing? ---
**Author:** ![Yashashree\_Dongre](https://avatars.discourse-cdn.com/v4/letter/y/e47774/32.png) [@Yashashree\_Dongre](https://community.make.com/u/Yashashree_Dongre)\ **Post date:** [August 26, 2026, 7:46am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/14 "2026-08-26T07:46:40Z")
Christian ā€” your 18 Feb Make Hire post (ProductBuilder, multi-client content SaaS, $500ā€“1500 / 2 weeks). I do one paid slice, not a staff role: USD 1,000, 10ā€“14 days. One parameterized pipeline (research ā†’ blueprint ā†’ one output format) that swaps client vars, not 20 separate scenarios. 50% to start. You keep credentials. If you already hired, ignore. If not, reply here with Airtable base shape and the one format to ship first (script, ebook, or email). Sanket Ā· [tinkerclaw.com](http://tinkerclaw.com) ---
**Author:** ![fored](https://avatars.discourse-cdn.com/v4/letter/f/779978/32.png) [@fored](https://community.make.com/u/fored)\ **Post date:** [September 9, 2026, 3:07pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/15 "2026-09-09T15:07:56Z")
Hi Christian ā€” Iā€™m interested in the Make/Claude/Airtable/Canva automation work. My strongest fit is backend/API integration and reliability with Node.js/TypeScript/Python, JSON/webhooks, validation, retries, and clean handoff documentation. I wonā€™t overstate Make-specific client history, but I can take a bounded paid test scope, work within the existing architecture, and prove the integration behavior with acceptance checks before expanding. If the role is still open, Iā€™d be glad to start with one concrete workflow or client implementation. ---
**Author:** ![Shuhrat\_Soliev](https://avatars.discourse-cdn.com/v4/letter/s/7c8e57/32.png) [@Shuhrat\_Soliev](https://community.make.com/u/Shuhrat_Soliev)\ **Post date:** [September 11, 2026, 3:02pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/16 "2026-09-11T15:02:07Z")
Christian, for this multi-client Make/Airtable pipeline, we ship a fixed $5k / ~2-week Pilot: one production AI agent + workflow (Make JSON, HITL gates, runbook, Loom). 50% or 100% to start. Want a one-page SOW today? ---
**Author:** ![alexlun1984](https://avatars.discourse-cdn.com/v4/letter/a/7c8e57/32.png) [@alexlun1984](https://community.make.com/u/alexlun1984)\ **Post date:** [September 14, 2026, 8:15am UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/17 "2026-09-14T08:15:08Z")
Hi Christian, If ProductBuilder is still open for development, I can offer a **$900 fixed-price MVP** , with an estimated delivery of **10 business days after scope confirmation and access**. **For your architecture question:** I would use shared Make scenarios driven by client configuration. Airtable would hold separate Clients and Jobs tables. Each job carries a client ID, and the dispatcher loads that clientā€™s keywords, tone, templates, enabled formats, and destination references before running the three stages. Adding another client with supported formats would require configuration, without cloning scenarios. Credentials would stay in managed connections or secure credential storage, with references in the configuration. **The MVP would include:** - Research and Claude scoring using agreed source inputs and evaluation criteria. - A structured content blueprint with validated fields. - One agreed output format, such as a YouTube script delivered through a Google Docs template. - Job status tracking, error logging, controlled retries, and duplicate-job protection. - Testing with two distinct client profiles to verify that prompts, assets, and destinations remain correctly separated. - Make blueprints, the Airtable schema, and a short onboarding and recovery guide. Acceptance would include both clients completing the pipeline, a repeated job avoiding duplicate output, and a failed stage resuming without repeating completed work. **Milestones: $200 for the architecture and integration feasibility review; $700 after implementation and acceptance testing.** API and platform usage charges are separate. My recent work includes CRM-connected messaging bots, LLM integrations, webhooks, and troubleshooting live API workflows. These are the areas I would bring to this build. Before committing to Canva generation or storefront publishing, I would verify the exact operations supported by your accounts and APIs. Additional formats and distribution connectors can then be scoped against a working foundation. Is the project still active, and which output format should we deliver first? A sample client configuration and your existing Airtable structure would help confirm the scope. Best, Alexander ---
**Author:** ![jingkai\_builds](https://avatars.discourse-cdn.com/v4/letter/j/0ea827/32.png) [@jingkai\_builds](https://community.make.com/u/jingkai_builds)\ **Post date:** [October 9, 2026, 3:18pm UTC](https://community.make.com/t/hiring-make-com-specialist-for-multi-client-content-automation-saas-ai-apis-airtable-publishing-workflows/103804/18 "2026-10-09T15:18:06Z")
Hi Christian ā€” your architecture question is the right one to ask, and the answer is config-driven, not scenario duplication: one Airtable ā€œClient Configā€ table (client ID, niche keywords, tone, format flags, API credentials), and every scenario starts by fetching that row and injecting the variables into prompts, routing, and templates. Adding client #21 becomes adding a row. Two production details Iā€™d insist on: force every Claude output into a strict JSON schema so downstream steps never break on freeform text, and key every run on client\_id + job\_id for idempotency so retries never double-generate content. Happy to share what the Client Config schema and the router pattern look like concretely.