The platform for analysis, automation, and agents.
Programmed in English.
The pricing engine you'd need an engineer for. The forecast that runs every Monday. The reconciliation that closes itself. You describe it, Hywit builds and runs it like software.
Every Monday at 7am, flag SKUs that will run out and open draft POs.
Build
Building it is one half. Running it reliably is the other.
Hywit does both. What you write in English becomes a system with everything attached.
- Deterministic runsSame input, same output. Run 1 or run 1,204, the answer doesn't drift.
- Change one step, not the systemEdit the sentence that changed. Nothing else moves, nothing else needs retesting.
- Scheduling built inEvery Monday at 7am means every Monday at 7am. No cron, no server, nothing to keep alive.
- MCP & Tool calling, Connectors built inConnect via MCP or built-in tool calling. Point at a database, sheet, ERP, or API, and Hywit connects to it.
- Monitoring, alerting and loggingWhen a run fails, you know before your stakeholder does. Every run is logged: what ran, on what data, with what result.
- Connect to 100s of modelsConnect to Anthropic, Gemini, OpenAI, Openrouter and 100s of other models.
Workflows where every step is a sentence, not a node.
Ship everything from simple automations to complete software systems.
One sentence does what five nodes used to. "Read the five monthly files and combine them" is a step, not a subgraph. As the workflow grows you write more, you don't rewire anything.
- ✕Node graphs
- ✕Spaghetti connections
- ✕Dropping into code for anything complex
- ✓Describe the logic. Hywit creates the steps and the connections.
- ✓Express conditions, exceptions and edge cases in plain English.
- ✓Deterministic runs, scheduling, monitoring built in.
- ✓Nothing to re-wire as the flow grows.
Check each email's format. If it's valid, look it up in the customer database. If it's not, mark the row invalid.
312 new, 48 already in database, 74 invalid.
Step 2 · Validate email & check database
- Read the email column from each row.
- Check if the email matches a valid format.
- If it's valid, look it up in the customer database.
- If it's not valid, mark the row as invalid.
Does this match your requirements? Please confirm.
Notebooks where every cell is English, not Python.
Describe the analysis and Hywit writes and runs it with you, cell by cell. When it works, keep it. The same notebook becomes a workflow that reruns every week.
- ✓Complex analysis, described not codedA pair programmer that works the problem with you. Talk through the approach and build it cell by cell. No syntax to fight, no ceiling when the logic gets involved.
- ✓Solve it once, run it every weekTurn exploratory analysis into a repeatable workflow without rebuilding it somewhere else.
- ✓Check every step, not just the answerInspect the output and the assumption behind each cell. Guide it, correct it, and see exactly what ran.
Load Orders and Order_Lines, keep the last 30 days, and match line items to their order's channel and date. For each SKU on each channel, sum units sold and divide by 30 for a daily sales rate.
30-day sales velocity by SKU and channel (282 sku/channel groups).
| sku_id | channel | units_sold_30d | sales_velocity |
|---|---|---|---|
| SKU00001 | Ajio | 6 | 0.2 |
| SKU00001 | Amazon | 24 | 0.8 |
| SKU00001 | D2C | 12 | 0.4 |
| SKU00001 | Flipkart | 13 | 0.4333 |
Step 1 · Calculate sales velocity
- Load the Orders and Order_Lines tabs from the orders and order items sheet.
- Keep only orders from the last 30 days and exclude orders cancelled before shipping (Cancelled-Pre-Ship).
- Match those orders to their line items.
- For each SKU on each channel, add up the units sold and divide by 30 to calculate the daily sales rate.
- Produce a per-channel, per-SKU sales velocity table.
Does this match your requirements? Please confirm.
And when the work needs an agent, build one.
Deterministic software, agentic workflows, or fully autonomous agents. All described in English, all on the same platform.
Move between them without rebuilding anything.
Open-ended work. Investigate a complaint, pull what's needed, decide the next step.
Fixed steps, AI judgment where it matters. Refund triage, where only the edge cases need a decision.
What builders ship with Hywit.
Real systems, written up in detail, one from each part of the platform.
Wherever you need them to run.
Cloud & Self-hosted
Run in the Hywit cloud or entirely on your own machine. Your call.
Bring your own keys
Plug in your OpenAI, Anthropic or Google API keys. Your spend, no lock-in.
Deterministic & auditable
Same input → same output, every run. Every step logged for compliance.
Run everything on your machine.
For teams who can't send data to the cloud, Hywit Desktop runs every flow, insights locally. Same product. Zero data leaves your laptop.
- ✓Bring your own model keys
- ✓Connects to your local databases and HTTP endpoints
- ✓All data stored in your system securely and privately