REST APIs, webhooks and CRM syncs that keep your tools in step, plus AI and telephony APIs wired in safely. We decide which system owns each field, make every write safe to retry, and leave a log you can debug from.
Your CRM says the customer's number is one thing. Your job tool says another. The invoicing system has a third, and nobody knows which one the text-message reminder uses. Each tool works on its own; the trouble is in the gaps between them.
Integrations usually fail in predictable ways. Two systems both think they own the same field and overwrite each other. A request times out, gets retried, and creates a duplicate. A webhook arrives twice. An API changes quietly and the sync keeps running, writing nothing useful. And because nothing was logged, the first sign is a customer who got the wrong message.
1. Map the systems and the fields. Every field that crosses a boundary gets an owner and a direction. Disagreements are settled on paper before code is written.
2. Test the API directly. We exercise the real API with an API client before building on it, and write down how it actually behaves, not just what the documentation promises.
3. Build for the bad day. Stable IDs, idempotent writes, reconciliation before retries, timeouts that fail safely, and credentials kept server-side.
4. Log everything that crosses a boundary. What was sent, what came back, and what we did about it, so a problem can be traced in minutes.
5. Hand over. A map of the integration, the log location, and a short runbook for the common failure cases.
The most expensive integration bug is the silent duplicate. A request goes out, the connection times out, and the code retries. But the first request did arrive: now there are two orders, two contacts or two charges. In ThesisCircuit we treat this as a design rule. Every order starts as a durable intent with its own client order ID, workers claim intents atomically, and before any retry the system asks the broker whether that ID already exists. Only if it doesn't do we send again. The same idea carries to CRM syncs and webhooks: give every write a stable key, check before repeating it, and record what happened.
REST and JSON, webhooks, Zapier and n8n, Postman for exploring APIs, TypeScript or PHP or Python for integration code depending on your stack, Zod for validating payloads, and provider SDKs for Twilio, Alpaca, OpenAI and Amazon Bedrock.
Two systems won’t talk to each other.
What we doWe map the fields, decide which system owns the truth, handle retries and duplicates, and leave a log you can debug from. Tools we have wired together in production include GoHighLevel, Zapier, JobNimbus and HailTrace.
The sync works, mostly, and creates duplicates.
What we doWe match on stable IDs, make writes idempotent, and reconcile before retrying, so a timeout never turns one record into two.
We want AI in the product without leaking keys or data.
What we doModel calls run server-side only, outputs are validated before they touch business logic, and the model gets exactly the data each step needs.
Pick the pieces you need. Most projects start small and grow from there.
Clients for third-party REST APIs and receivers for their webhooks, with authentication handled server-side and every event safe to receive twice.
Contacts, jobs and statuses kept in step between your CRM and the tools your team uses, with a written source of truth for every field.
Language and embedding models wired in behind a narrow interface, with schema-validated outputs and keys that never reach the browser.
Client work is shown anonymised. Hackathon builds link to their public case studies.
Paper-only options research agents: three strategies compete, a critic objects, and a fail-closed risk governor has the final say. NO TRADE is a first-class, audited result.
An AI operations agent for agencies that turns conversations into typed, evidence-backed memory in CockroachDB, so decisions, instructions and tasks survive the session.
An autopilot quoting agent for service businesses: Qwen reads the request, deterministic tools own price and availability, and a human approves before anything is sent.
Connecting a GoHighLevel CRM to roofing-industry tools so leads, jobs and follow-ups stay in one place, with Conversation AI booking appointments.
Turns a short video clip into four caption styles by sampling frames in the browser and calling Fireworks models, with honest fallbacks and human review before anything is posted.
Electron + Twilio Voice desktop dialer (README credits Talal).
Both. Zapier or n8n when solid connectors exist and volumes are modest; direct API code when connectors are missing, too limited or too costly at your volume. We recommend one and explain why.
Common. We test it directly with an API client, write down how it actually behaves, and build defensively around the parts that surprise us.
Stable IDs, idempotency keys where the API supports them, and reconciliation before any retry: check whether the first attempt landed before sending a second. Our trading-agent build reconciles by order ID before every retry for exactly this reason.
Yes. We have wired OpenAI, Qwen, Amazon Bedrock and Fireworks-hosted models into apps, always server-side, with validated outputs and a fallback when the model is unavailable.
We don't publish fixed prices. It depends on the systems, the fields and the volume. We map the integration first, then quote. Email info@teqprotech.com.
Tell us what it’s doing that it shouldn’t (or not doing that it should). The brief form opens with API & CRM Integrations pre-selected.
