Kastiv vs Make

Make vs custom engineering for HeyGen. Where Make wins and where it doesn't.

Make is a real step up from Zapier for AI video pipelines. The visual scenario builder, per-module error handling, and flexible HTTP module matter. The gaps are specific - operation cost math, execution timeouts, and concurrency at volume. This page documents both sides honestly.

30 minutes. You leave knowing whether Make covers your use case or whether a custom build is the right next step.

When Make wins

Make earns its place for the right team and volume.

These are real advantages over Zapier for API-heavy workflows. They matter.

Visual scenario builder good for complex logic

Make's canvas shows the full workflow - trigger, HTTP call, router, error branch, CRM write-back - as a connected diagram. When a render fails, you see the whole flow at once. Zapier shows you a list. For multi-branch logic with conditional routing, Make's visual model makes debugging significantly faster.

Better retry than Zapier via error handler module

Make lets you attach a dedicated error handler route to any module. When a HeyGen API call fails - 429, timeout, avatar not found - Make can route that failure to an alert, a retry, or a fallback branch. Zapier's error handling is binary: pass or fail. Make's error routes are a genuine architecture improvement.

Per-operation pricing fair at low volume

Make charges per operation rather than per scenario run. For conditional workflows where some contacts skip certain steps, you only pay for what actually executes. At under 100 videos per month in steady load, the operation math is favorable compared to both Zapier task pricing and the cost of a custom build.

HTTP module handles complex API payloads

HeyGen's API requires structured JSON with nested template variables, avatar IDs, and callback URLs. Make's HTTP module handles custom headers, body construction, and response parsing cleanly. Less manual JSON wrangling than Zapier's equivalent, and the response mapping tools are more capable.

Where Make breaks

The gaps that matter at volume. Specific, not vague.

Make is better than Zapier. It is not a production-grade queue. The difference matters past a certain threshold.

Gap 1

No managed concurrency queue for HeyGen rate limits

Make has no mechanism for pacing API calls against HeyGen's rate limits. Under burst load - a large import, a campaign trigger - multiple scenarios fire simultaneously. 429s compound and the error handler sees multiple failures at once rather than managed throttling. Custom code holds the queue and releases calls at the rate HeyGen allows.

Gap 2

Per-operation cost math at 200 videos/month

A HeyGen generation workflow touches 4-6 operations per run: trigger, HTTP call, webhook receive, data transform, CRM write. At 200 videos a month that is 800-1200 operations per cycle. The Make bill at sustained high volume can approach or exceed what a custom lightweight service costs to run on a VPS.

Gap 3

Scenario execution timeout on slow renders

HeyGen renders take 2-4 minutes typically, longer under load. Make's scenario timeout can cause the run to exit before the render completes. Without a persistent job state, the result goes unhandled. You need a separate polling scenario to recover - which adds complexity and more operations to the bill.

Gap 4

No built-in monitoring dashboard

Make shows scenario run history, not a pipeline-level view. You cannot quickly see how many videos are queued, processing, or failed across a batch. Diagnosing whether a campaign completed successfully requires drilling into individual scenario logs rather than reading a status board.

Gap 5

Error handling is manual per-module, not pipeline-level

Make's error handler must be configured module by module. There is no pipeline-level catch for unhandled failures. A module without an attached error route that fails unexpectedly marks the scenario as errored with no retry. At volume, this means consistent configuration across every module in every scenario - ongoing maintenance as workflows change.

Side-by-side

Make vs Kastiv across 8 dimensions.

No padding. Just what each option actually delivers on each dimension.

Dimension
Make
Kastiv

Retry on HeyGen 429

Manual error handler route - no automatic backoff

Automatic retry with exponential backoff, configurable budget

Execution timeout

Scenario timeout cap - slow renders can exit unhandled

Async job state persists until callback received, no timeout

Cost at 100 videos/month

400-600 operations per cycle, plan-dependent

Fixed price build, near-zero marginal cost per video

CRM write-back

Requires manual module setup per field per CRM

Structured write-back of generation status, video link, delivery event

Monitoring dashboard

Scenario history only - no pipeline-level view

Built-in status dashboard: queued, processing, delivered, failed

Queue management

No rate-limit throttling - burst loads cause concurrent 429s

Managed concurrency queue respects HeyGen rate limits

Setup time

Hours to days depending on scenario complexity

2-4 week build with full handover and runbook

Volume ceiling

Reliable under ~100 videos/month in steady load

No practical ceiling - scales with infrastructure

FAQ

Questions about Make vs custom

What does Make's per-operation pricing actually cost at 100 videos a month?

A single HeyGen video generation in Make typically touches 4-6 operations: trigger parse, HTTP call to HeyGen, webhook receive or poll, data transform, CRM write-back, and any router branches. At 100 videos a month that is 400-600 operations per run cycle. At Make's Core plan that is manageable. Past 200 videos per month, operation counts push you into higher tiers and the monthly bill can approach or exceed what it costs to run a lightweight custom service. We project this during the audit on your actual numbers.

Why does Make time out on HeyGen renders?

HeyGen renders are asynchronous - the API returns a job ID immediately and the actual video finishes minutes later, sometimes longer under load. Make's scenario execution has a per-run timeout. If your scenario waits for a webhook callback and HeyGen takes longer than the timeout allows, the scenario exits and the result goes unhandled. You either need a separate polling scenario - which adds operations and complexity - or a custom service that holds the job state and handles the callback whenever it arrives.

How does Make's error handling compare to custom code for HeyGen pipelines?

Make's per-module error handler is meaningfully better than Zapier's binary pass-fail. You can route a 429 response to a retry branch or an alert. The gap is that Make has no built-in retry budget management, no dead-letter queue for renders that fail twice, and no persistent state between scenario runs. A render that exhausts your error handler branches drops out of the workflow with no automatic recovery. Custom code gives you explicit retry counts, exponential backoff, a dead-letter store, and a dashboard showing which jobs are waiting, processing, or failed.

When should I move from Make to a custom build?

When any of these apply: your Make scenario is timing out on slow HeyGen renders; your operation costs are approaching $200-300 per month; you need persistent queue state across scenario runs; or you have had renders complete after Make exited with no recovery path. These are the specific Make ceiling failure modes. A custom Node.js or Python queue solves all of them. The audit tells you clearly which side of that line you are on before you spend anything.

Using Make and hitting the ceiling?

30 minutes. You leave with your operation costs projected, the failure modes mapped to your setup, and a clear recommendation on whether a custom build makes sense at your volume.

Get your Pipeline Audit

Fixed price. Working Pipeline Guarantee on every build.