Make vs AI Flowi Workflow: webhook to Google Sheets

For a webhook-to-Google-Sheets job, Make Core costs about RM43.28/month with monthly billing or RM36.78/month with annual billing at 10,000 credits. Flowi Plus costs USD20/month billed monthly with 10,000 tokens, and each top-up adds another 10,000 tokens for USD30. Make Free may cover a small workload; the Flowi scenario uses Plus. The platforms count different units. Compare actual steps, validation, failure behaviour and currency before choosing or migrating.

By Ai Flowi · Published · Updated .

Ai Flowi supplies AI Flowi Workflow. Make facts on this page are documented (official source, checked 9 October 2026); no Make scenario was runtime-tested by Ai Flowi. AI Flowi’s functional results come from production tests on 8 and 9 October 2026. Monthly usage estimates below are assumptions, not measured bills or throughput tests.

Compare the same webhook-to-Sheets task

The shared acceptance contract is one authenticated JSON POST containing name, email and request; validate non-empty text and the email format; append one row in columns A/B/C; return HTTP 200 after a successful write. Invalid input must return 422 with no row, and missing or invalid authentication must return 403 with no row. Use the same synthetic inputs, column order and destination permissions when checking each build. Apply the API testing checklist to compare response codes and row writes against that shared contract.

Example input: {"name":"Demo Name","email":"demo@example.com","request":"Synthetic enquiry"}. Successful output is one row containing those three values and a response confirming the write. Response bodies require explicit mapping in each build; identical status codes alone do not prove the same contract.

AI Flowi’s supplied append recipe passed these acceptance cases. The Make column below describes documented building blocks and a proposed configuration; validation, authentication rejection and the complete response contract still need a Make execution test.

Setup for identical input, row output and caller responses
StepMake: documented building blocksAI Flowi: tested append recipe
Receive and authenticateCustom webhook. Configure and verify sender authentication against the shared contract; a 403-before-write result has not been tested here.Universal Webhook: POST, Platform API Key, response mode From Flow. Missing or invalid keys returned 403 before the flow ran.
Validate and branchRouter and filters. Recreate the field rules and route rejected input to a response without writing.JSON Operations (JQ validation) → Verification Router. Verified and Rejected branches were exercised.
Map and writeMap the three fields to Google Sheets Add a Row.A second JSON Operations prepares {values: .values}; Append Rows writes to Sheet1!A:C.
Return the resultWebhook response supports chosen status and body. Configure 200 after writing and 422 on rejection, then test the response timing and body.Separate Webhook Response nodes return 200 after a write or 422 with validation reasons.
Credentials and destinationAuthorise a Google OAuth 2.0 connection; select the spreadsheet and worksheet; confirm write access.Authorise Google Connection, set Spreadsheet ID and range, and configure sender authentication. Connections must be recreated when migrating.

Make setup facts: documented (official source, checked 9 October 2026): webhooks and responses, router and filters, Sheets modules, Google connection. AI Flowi: tested recipe and exact configuration.

Google Sheets coverage: 27 Make modules, 23 Flowi components

Make documents 27 Google Sheets modules. AI Flowi’s catalog lists 23 Google Sheets components. Make has more listed Sheets modules; the counts do not establish matching features or runtime success for every operation. This job uses Make’s Add a Row or AI Flowi’s Append Rows, so inspect those interfaces and the required error path.

Make: documented (official source, checked 9 October 2026), Google Sheets module list. The checked enumeration totals 9 row + 4 cell + 13 sheet + 1 other module = 27, including Add a Row and Make an API Call. AI Flowi: component catalog; catalog presence is documentation, while the append and duplicate-protection results below are tested.

Related: Compare.

Visual workflow builder, AI integrations and business fit

The comparison below extends beyond the no-model webhook example. AI Flowi capabilities linked to product documentation are documented, not validated by that example’s tests. Business-fit and ease-of-use guidance follows the configuration requirements; neither platform has a measured usability score here.

Make capabilities: documented (official source, checked 9 October 2026). Unverified capabilities are marked as not compared.
RequirementMakeAI Flowi Workflow
Visual workflow builderConfigure a scenario using modules such as Custom webhook, Google Sheets Add a Row and Webhook response; use routers and filters to define branches. Router routes run sequentially, and a fallback route handles data matching no other route: documented (official source, checked 9 October 2026). The setup above is a proposed configuration without a runtime test. Make’s visual-editor controls and drag-and-drop behaviour are not compared on this page.The visual canvas connects typed, drag-and-drop components, including triggers, AI models, custom code and business-tool connections. Compatible inputs and outputs still need configuration. The tested recipe uses Verification Router for its verified/rejected split.
AI integrationMake AI Agent (New) builds agentic scenarios and is available on all plans through Make’s AI Provider, without a separate provider account. Paid plans can use their own provider connection. Agent Knowledge consists of files stored in the agent’s memory. These capabilities are documented (official source, checked 9 October 2026). AI credit usage is token-based; the documented GPT-5 mini example is 3,616 input tokens per credit, not a universal rate or a complete AI-call cost. Exact provider-connection steps, output-token rates and vector/RAG implementation are not compared on this page. The proposed Sheets scenario contains no AI call; no Make agent was runtime-tested here.Flowi AI and the API Hub document a model picker with managed access or a workspace’s own provider key (BYOK). The catalogue includes OpenAI, Anthropic, Google Gemini, DeepSeek, Groq and OpenRouter; routes must be configured and enabled. Catalogue presence is not a provider test. Model/API usage costs remain separate from workflow node-run fees.
Templates and reusable starting flowsMake’s template range is broader: its official sitemap listed 8,310 template URLs on the check date. This is a published-page count, not a count of templates tested by Ai Flowi. Inspect the Webflow form-to-Sheets template for a related starting point. A blueprint is a reusable scenario in JSON format; imported files must be below 2 MB, and account connections must be recreated. Blueprint details: documented (official source, checked 9 October 2026).The two downloads already linked below are sanitised starting flows that were imported and re-tested for this task. See templates and recorded test scopes. Set your Google connection, spreadsheet and authentication after import. A Make template or blueprint is not an AI Flowi import format.
APIs beyond webhook deliveryThe Sheets Make an API Call module is a documented service-API option beyond Add a Row. It is distinct from receiving an event through Custom webhook. Standalone Make scenario or management API access is not compared on this page.Workflow API access lets an application send input to a saved workflow and read its response. Create a workflow API key, open Share → API access, select fields under Input Schema → Expose API, save, then copy a Python, JavaScript or cURL request. Workflow API keys are distinct from API Hub model-access keys; keep secrets in server-side code. This API path is documented, separate from the production-tested Universal Webhook path.
Ease of use and required skillsFor the proposed scenario, maintain field mapping, router/filter rules, Google OAuth, sender authentication and HTTP response mapping. A template or blueprint still needs connection setup and acceptance checks. No setup-time or ease-of-use result was measured.The supplied flow avoids rebuilding its tested graph, but you still configure credentials, destination and authentication. Changing validation or row mapping requires understanding JSON and the recipe’s JQ expressions. Importing a flow does not test your connections. Neither visual interface removes those responsibilities.
Suitable business typesSMEs and business teams seeking a wider range of template starting points can inspect Make’s broader library. For a small no-model enquiry-capture job, evaluate Free or Core against the acceptance contract; the cheaper subscription options are shown below. Teams requiring recovery should assess the documented error handlers against their exact scenario.SMEs with a trusted website sender and Google Sheets destination can evaluate the lead-capture recipe if someone can maintain the configuration and test it. Technical builders can also evaluate documented model and workflow API access. The synthetic tests are not evidence of a customer deployment or an AI-agent outcome.
Limitations of both productsTemplate breadth does not establish matching validation, authentication, duplicate handling or recovery for your job. Connections do not transfer with blueprints; credit allowances constrain workloads. No Make scenario, agent or API was runtime-tested here. Visual-editor controls, exact provider setup and standalone API access are not compared on this page.Imports still need connection checks; model calls depend on enabled providers and correct configuration. The tested Sheets recipe has the raw-error and simultaneous-duplicate limits detailed below. A top-up adds another whole month’s allowance (Go USD15, Plus USD30); Make’s documented recovery options are broader than this tested failure path.

Make scenario routing, AI Agent availability and provider access, AI credits, Sheets API-call module and blueprint facts: documented (official source, checked 9 October 2026), from the official documentation linked in the rows and the setup and migration sections. Template URL count: documented (official source, checked 9 October 2026), from Make’s official sitemap coverage. Visual-editor controls, exact AI-provider setup, output-token rates, vector/RAG implementation and standalone API access are not compared on this page. AI Flowi: linked live product documentation, templates and the production test record below.

Subscription prices and different usage units

Each node run uses 1 Flowi Token. Plans: Go from USD8/month billed yearly (USD10 monthly), five plans up to Pro 500. Every plan is listed on the pricing page.

Make uses credits: its pricing page describes one module action, such as adding a Google Sheets row, as one credit. Make credits and Flowi node runs are different units. A webhook run can execute several actions or nodes, and rejected branches can execute fewer. Do not compare 10,000 credits with Plus’s 10,000 Flowi Tokens as equal workload capacity.

Make: documented (official source, checked 9 October 2026 from Malaysia). Subscription prices only.
Plan / allowanceMonthly billingAnnual billing: monthly equivalent
Make Free: up to 1,000 credits/monthUSD0 (RM0)Free plan
Make Core: 10,000 credits/monthUSD10.59 ≈ RM43.28USD9 ≈ RM36.78
Make Pro: 10,000-credit tierUSD18.82 ≈ RM76.92USD16 ≈ RM65.39
Make Teams: 10,000-credit tierUSD34.12 ≈ RM139.45USD29 ≈ RM118.52
AI Flowi Workflow Go, Plus, Pro 100, Pro 200 and Pro 500: 5,000, 10,000, 50,000, 100,000 and 250,000 tokens/monthGo from USD8/month billed yearly (USD10 monthly), five plans up to Pro 500Plans: Go from USD8/month billed yearly (USD10 monthly), five plans up to Pro 500. Every plan is listed on the pricing page.

Compare the billing period and currency before ranking subscription costs. The annual figure requires annual billing; it is not a month-to-month offer. Flowi Plus is USD16/month billed yearly (USD192/year) or USD20/month billed monthly. Compare each platform’s required tier, actual usage and currency; subscription figures alone do not establish the cheapest complete job.

Make prices and credit rule: documented (official source, checked 9 October 2026), Make pricing and credits documentation. Bank Negara Malaysia middle rate, 8 October 2026: USD1 = RM4.0870. MYR equivalents are approximate, rounded to two decimals; taxes, card fees and bank spreads are excluded.

AI Flowi’s subscription is billed in USD. Third-party API/model usage is not included. For this task no AI model is needed. Setup and maintenance time are unpriced for both platforms.

If self-hosting is required, n8n Community is a free self-hosted software option: documented (official source, checked 9 October 2026), n8n pricing. Hosting and maintenance are unpriced, and no self-hosted build or same-task total is established here. Use the n8n comparison to investigate separately.

Worked scenarios: 100, 1,000 and 10,000 runs/month

Common assumptions: one request per run, all inputs valid, one row per request, one success branch, no batching, no retries, no duplicates and no additional lookups. No AI/model calls. Incremental Google API and separate hosting charges are assumed RM0 for this illustration, not verified as a total-cost promise. Both use an already-authorised Google account. Setup labour, existing Google subscriptions, taxes and payment fees are excluded.

Make estimate: three module actions per success: Custom webhook → Add a Row → Webhook response. Assume validation uses filters and inline mapping without an additional billable module; assume router/filters add no credits. Counting the trigger and response as one credit each, and full validation parity, remain unverified assumptions. Any extra parsing, validation, authentication or error-handler actions must be added to your estimate.

AI Flowi estimate: six executed nodes per success: Universal Webhook → JSON Operations (validation) → Verification Router → JSON Operations (row mapping) → Append Rows → Webhook Response 200. The canvas has seven nodes because it also contains the unused 422 response. Assume skipped branches consume no tokens and each executed path node, including the trigger, runs once. Actual billing, caching and rerun behaviour were not measured.

Assumed path counts × runs; estimates, not measured consumption
Monthly runs / rowsMake estimate and candidate subscriptionAI Flowi estimate and quota
100 / 100100 × 3 = 300 credits. Within Free’s 1,000-credit allowance: USD0 / RM0, subject to plan limits and the acceptance test. Make Core remains an optional paid choice at RM43.28 monthly / RM36.78 annual equivalent.100 × 6 = 600 Flowi Tokens. Go monthly USD10; 600 tokens used.
1,000 / 1,0001,000 × 3 = 3,000 credits. Exceeds Free; within Make Core 10k: RM43.28/month or RM36.78/month equivalent with annual billing.1,000 × 6 = 6,000 Flowi Tokens. Within Plus’s 10,000 tokens; Plus monthly costs USD20.
10,000 / 10,00010,000 × 3 = 30,000 credits. Make Core 10k is insufficient. Documented Make Core 40k monthly billing: USD34.12 ≈ RM139.45/month, covering this estimated usage. No annual 40k price is established here.10,000 × 6 = 60,000 Flowi Tokens. Exceeds Plus’s 10,000-token allowance by 50,000; Plus with five top-ups costs USD170 (USD20 + 5 × USD30).

At 100 runs, Make Free has a USD0 subscription if its limits and your tested build meet the contract. The Flowi Sheets scenario uses Go at 100 runs and Plus above that. Flowi monthly costs USD10 (Go) at 100 runs, USD20 (Plus) at 1,000 runs and USD170 (Plus with five top-ups) at 10,000 runs, before third-party charges. Compare those USD amounts with the cited Make prices in their stated currency and include operations costs; no currency conversion is assumed.

Branch and retry sensitivity: an invalid-input rejection is estimated at two Make actions (webhook and 422 response) versus four Flowi nodes (webhook, validation, router and 422 response). If 10% of requests are rejected, 100 / 1,000 / 10,000 incoming runs produce 90 / 900 / 9,000 rows and estimate 290 / 2,900 / 29,000 Make credits versus 580 / 5,800 / 58,000 Flowi Tokens. A full successful redelivery adds another three assumed Make credits or six assumed Flowi Tokens and appends another row. These estimates exclude retries of partial failures and the separate duplicate-protection workflow.

Make Free/Core allowances and Make Core 40k monthly price: documented (official source, checked 9 October 2026), Make pricing. Path-count assumptions are stated above; AI Flowi paths are from the tested append recipe.

Error handling: Make documentation vs AI Flowi tests

Make documents Skip, Retry, Resume, Commit and Rollback error handlers. Its Retry handler stores incomplete executions for automatic or manual retries. These are documented capabilities, not Ai Flowi test results; verify their applicability to Google Sheets and your scenario before relying on recovery or rollback. For the recovery design behind retries, review workflow orchestration concepts before deciding which failure paths you require.

Make: documented (official source, checked 9 October 2026), error handlers. The Retry description says store incomplete executions and enable automatic or manual retries. No Make failure, retry or rollback case was run for this page.

AI Flowi append recipe: production-tested 8 October 2026
CaseObserved HTTP / sheet resultScope
Valid request200; one row added.Original and clean imported copy.
Missing field, wrong type, invalid email or malformed JSON422; no row added.Original and clean imported copy.
Missing or invalid platform API key403 before flow execution; no row added.Original and clean imported copy.
Bad spreadsheet ID404 with raw component error; test sheet unchanged.Original append flow only; this failure was not repeated on its imported copy.
Identical valid event delivered twice200 each time; two rows added.Original and imported append flows; no deduplication.

Limits that matter before switching

AI Flowi Workflow 1.9.2 has no in-flow Sheets error branch. A Google Sheets failure stops the flow before a downstream Webhook Response; the platform returns a raw error that can include the Google API URL and Spreadsheet ID. Input rejection does not provide retry, recovery or transaction rollback. Do not expose that raw response verbatim to end users.

The separate duplicate-protection version uses Upsert Row keyed on event_id. Production-tested on 9 October 2026 on the original and imported copy: sequential repeats updated the same row and did not add a second row. Simultaneous duplicates can still both insert. The bad-spreadsheet case returned a raw 404 on both copies; controlled error handling remains unmet. This version has an extra response-mapping node and is outside the six-node cost scenarios.

These tests used synthetic POSTs and an app-created Google Sheet with row counts read back. They establish the supplied configurations’ observed results, not monthly throughput, exact bills or behaviour with every destination. Make’s documented error-handler options are broader than the tested Flowi recipe’s failure path; if recovery is required, that gap can determine your choice.

Download the validated append workflow or download the duplicate-protection version. Set your Google connection, destination and authentication before testing.

Migration summary: manually rebuild your Make scenario

There is no direct Make blueprint import into AI Flowi Workflow. Use your Make scenario as a reference and the supplied AI Flowi JSON as a starting flow. Follow the Make webhook-to-Google-Sheets migration tutorial for full mapping and acceptance checks.

  1. Record input fields, validation, column order, Google destination, caller authentication, response bodies, error handlers and duplicate policy.
  2. Rebuild the paths with Universal Webhook, JSON Operations, Verification Router, Append Rows and the two Webhook Response nodes. Use the event_id version if its duplicate behaviour meets your needs.
  3. Re-authorise Google; set Spreadsheet ID, range and sender authentication. Make blueprints omit account connections, so exported JSON does not transfer credentials.
  4. Test valid input, every rejection, duplicate delivery and a destination failure; inspect HTTP bodies and actual rows. Review estimated usage and unresolved error handling before switching the sender endpoint. Keep historical logs separately.

Make blueprint connection facts: documented (official source, checked 9 October 2026), blueprints documentation. AI Flowi: workflow import/export and manual migration guide.

View AI Flowi pricing · AI Flowi Workflow overview · Workflow automation use cases

Sources and evidence scope