ElevenAgents Architect for live voice agents
ElevenAgents Architect drafts and tests fixes for a voice agent in production, so your engineers review changes instead of hunting for them.
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Our senior engineers build data platforms, AI agents and long-running systems alongside our clients' own teams, and they write up what happened when those systems met production, including what broke and what we'd do the same way again. If an AI pilot of yours never got past the demo, or a data project is waiting on headcount, you'll find the same problems here and how our engineers dealt with them.
Short takes on what Databricks just shipped and what we read into it, published on the Field Guide.
Private Network Gateway gives Databricks serverless compute one connection into your own network. What it reaches, what it costs and where to pilot it.
Read on the Field GuideDatabricks Feature Views reached general availability on 12 October 2026 for batch, streaming and request-time data. What to check before adopting them.
Read on the Field GuideLTAP Direct Writes, in beta since 25 August 2026, loads synced tables by writing to storage instead of through compute. The first LTAP claim a team can time.
Read on the Field Guide99 posts
ElevenAgents Architect drafts and tests fixes for a voice agent in production, so your engineers review changes instead of hunting for them.
Turn Databricks quality checks into release gates. Validate a fixed candidate, block publication on failure, and preserve the previous approved data.
Databricks agent memory persists across conversations, so a wrong fact outlives the chat that created it. How we'd govern what enters a memory store.
Cross-tenant customer-managed keys let a customer hold the key to their data in your Azure Postgres app. What that costs your team, and when to build it.
Azure's built-in PostgreSQL backups stop at 35 days and outlive a deleted server by five. Which production databases need a Backup vault, and what it costs.
Azure Databricks private network gateway gives serverless one path into your VNet and on-premises network. How we'd pilot it, and what we'd wait on.
Argon's token price doubles on December 1. Test it against your current model by replaying real past tasks, judging blind and comparing cost per finished task.
How Unity Catalog and Unity Gateway limit what an AI agent can do, how metric views and Genie Ontology define its metrics, and why we run agents on Temporal.
MCP Events let a customer's agent subscribe to your platform and act the moment something changes. Where Temporal and Databricks belong behind it.
Microsoft's Agent 365 and Azure API Management preview let you decide, in one place, which company tools your AI agents can use. Who should care, and the cost.
DuckDB can ship a few hundred KB of view definitions over a Delta Lake. Where we'd use it on client work, and the Unity Catalog line we would not cross.
Meta's Muse Wonder claims to pause before risky actions and remember context across sessions. What that would change for approval gates on production agents.
Responsive, the SlateDB team, is joining Databricks. Which Lakebase limits that should lift, judged against the ceilings we design around in client work.
Your coding agents' token bill keeps growing? What OpenCode 2.0 changes, and the config we'd commit to route routine work to cheaper open-weight models.
Business Central can now copy any table into Microsoft Fabric for reporting, with no export or pipeline to maintain. Who should move, and where it stops.
Why our AI agents switched to Cloudflare's web search and web fetch the day after launch, and what it fixed in our fact-check.
If your AI agents read web pages, a link somebody else chose can reach your internal network. What that hole looks like, how to close it, and what's still open.
How to scale content with AI after Google's September 2026 spam update without doorway pages or scaled content abuse, and what kept our city pages indexed.
MXC is Microsoft's policy-driven sandbox for AI agents, now GA. What it enforces, the JSON policy, the three modes, and where it stops short.
Which AI model should make your software's quick calls, like routing a ticket or approving a draft? Jev, Clef, Kev and Microsoft-Decision-1 compared.
SkillFS is a FUSE file system that controls which agent skills are visible, which are trusted and what happens when one goes bad.
Business Central 2026 wave 2 lets one item carry several excise duty configurations. What changed, how to set it up, and where it stops.
Databricks open-sourced Funke, a Python parser that lands HL7v2 messages in Unity Catalog with the full segment hierarchy intact.
Five datasets per board meant five copies of the same query on every filter click. The rule we use now, and the three places it breaks.
Replit Agent now builds apps on live Databricks data and deploys them as Databricks Apps with an auto-provisioned Lakebase Postgres database.
How TechFabric would use Supermemory for agent memory on client work. Which memories belong in it, what decides the bill, and the defaults we'd change.
What the Row Zero acquisition means for finance teams living on exports from Business Central and a CRM, and what is announced but not yet shipped.
Which of Cloudflare's three Clef decision models should make a call your software repeats all day, and how we'd build a manufacturer's warranty-claim review.
What Databricks Lakebase is, how branching, point-in-time restore and synced tables work, who uses it, and when to keep your existing Postgres.
Business Central 2026 wave 2 keeps DEV extensions installed through an environment update. What changes for sandboxes, UAT and your release process.
BC29 lets AL developers enable and disable database indexes in code. What that changes, how a team would use it, and where it does not fit.
Databricks Lakebase branches a Postgres database in under a second. Here is how that gives every coding agent and every PR its own isolated database.
How a compliant outbound voice agent for auto refinance is built on Databricks. Consent gating, feature lookups, the agent runtime and what to measure.
How we move Synapse and Snowflake estates onto Databricks with Lakebridge and Airlift. One manufacturing migration took six weeks instead of six months.
How the GPT-6 family splits by cost and reasoning effort, the API rules that changed, what it costs per million tokens, and how to run it on Databricks.
Meta's ads MCP server is in Databricks Marketplace. What it lets an agent do, how Unity Gateway and Meta rules fence it, and where it does not fit.
Business Central agents could only read a few standard tables without custom development. Version 29.0 lets them query the rest. How it works, where it stops.
Choosing a managed Postgres for apps beside your data platform? Lakebase against Snowflake Postgres on branching, scale to zero and governance. Lakebase wins.
Customers asking for a SOC 2 report? Preparing for SOC 2 Type II, we found the controls were already running and proving them was the work.
Agent identity decides what your row filters do. Four scenarios from a FHIR lakehouse on Databricks, with the performance tradeoffs of each.
Lenders kick back refinance packages over a mismatched odometer or an expired payoff. Where decision models like Jev and Clef catch it, logged on Databricks.
Three ways to report on Dynamics 365 Business Central, what each one is good for, the limits Microsoft documents, and how to tell which one you need.
The EU moved its high-risk AI deadline to December 2027. What NIST AI RMF, ISO 42001 and the EU AI Act ask, mapped to controls you can run on Databricks.
An Apache-2.0 .NET kit that resolves the customer tenant before a request reaches Databricks SQL, Jobs, AI/BI, Genie or Model Serving.
One ticket, one platform, and the cheapest first step. Moving a B2B product's client reporting onto Databricks, starting with Lakehouse Federation.
Microsoft's extended support for Dynamics NAV 2018 ends on 12 January 2028. What moving to Business Central involves, and why the warehouse floor sets the size.
Prove It, by TechFabric engineer Ivan Vydrin, won in the Creativity & Originality track of Databricks' global Genie-Powered App Challenge, judged by Databricks.
Microsoft and Databricks shipped the interop this year. For teams already on Azure the question is which platform holds the tables and which one reads them.
Snowflake and Databricks now read and write each other's Iceberg tables. If a vendor is still selling you a migration on lock-in, they are selling you 2023.
Export to Data Lake stops permanently on 30 November 2026. Microsoft names two replacements for Dynamics 365 teams. There is a third answer.
Staging has ten thousand rows, production has forty million, and every migration is a guess. What Lakebase branching does to a team's calendar.
Databricks' smart routing sends routine coding-agent work to cheaper models and keeps the agents' traces in Unity Catalog. What it saves, and what to check.
Every job green, nothing failing, and the numbers quietly wrong because a source stopped sending. Freshness, volume and schema checks in Unity Catalog.
Genie fails when two teams mean different things by the same word. Genie Accuracy hardens the semantic layer. TechFabric Experiments keeps the suite running.
Warehouse migrations slip because the exclusions were never written down. The Migration Readiness Sprint inventories the estate before anyone picks a date.
A Databricks cost dashboard shows spend. A two-week Health Check finds the spend that bought nothing, from all-purpose clusters to orphaned schedules.
Lakehouse pilots skip grants and then cannot be handed to security. The Lakehouse Launchpad puts Unity Catalog first, with TechFabric Airlift underneath.
A team shipped an agent in nine days and argued for two months about whether its answers were right. Write down what a good answer is first.
Moving QA off ad-hoc notebooks and onto version-controlled test automation with Databricks Repos. Repo structure, modular tests, and how a team works in one.
Writing PyTest data quality checks inside Databricks notebooks. Bronze-to-silver validation, edge cases, fixtures and error handling, with examples.
AI governance fails when it lives in documents instead of infrastructure. Compliance comes from systems that enforce the rules while the model is running.
Enterprise software fails when IT mandates tools people do not want. Adoption comes from pull, and the same rule now applies to agents.
Companies spend millions on enterprise AI that employees barely touch while shadow AI spreads. The problem is the tools, not the people ignoring them.
AI changed build versus buy. Now it is changing delivery. Small teams of senior engineers embedded in your operations, shipping in weeks rather than months.
Agile answered expensive execution, not planning. As AI collapses build time, deep upfront specification plus fast execution ships in weeks.
The engineering patterns that keep an autonomous system reliable in production. Guardrails, observability, circuit breakers, and where each one belongs.
Faster models and larger context windows make a custom AI build viable in weeks, and data sovereignty exposes vendor limits. When to buy, build, or do both.
When onboarding smaller customers pulls engineers off the roadmap, build a self-serve way in and leave the core platform alone. How to find where the cost sits.
Cloudflare, AWS and Azure all went down in late 2025. What their postmortems show, and the restore drills that decide how long your own outage lasts.
DASF stands for Databricks AI Security Framework. Version 3.0 maps 97 AI risks to 73 controls. What it covers, and how to enforce those controls at runtime.
Unity Catalog is the permission boundary we refuse to route around. A Health Check finds coverage that stops halfway, and agents inherit a person's grants.
What Databricks AI/BI is: dashboards plus Genie, which answers plain-English questions with SQL. What changed in 2026, accuracy, and cost.
How data platforms went from warehouses to lakehouses to data intelligence, and the four platform decisions that are hard to undo later.
Warehouse migrations slip on scope, not conversion. Two weeks on TechFabric Airlift inventories the estate, agrees exclusions and hands you a wave plan.
Horizontal AI versus vertical AI. Why businesses need a shared AI layer across their systems, what goes in it, and when a single-app copilot still wins.
ASP.NET Core has very extensible logging interface. I provides an ILogger interface along with few default implementations that can be used to log data.
Azure AI Foundry is now Microsoft Foundry. What it is, how it relates to Azure, and the day-one decisions a CTO makes on projects, data location and cost.
Catch bugs before production by running tests automatically in Azure DevOps. Unit tests on CI, Selenium on release, Test Plans on demand, with the YAML.
Service Fabric is Microsoft's microservices orchestrator. Service discovery, fault tolerance and containers, set up for production rather than a demo.
Securing microservices on Azure Service Fabric with a Traefik reverse proxy. Service Fabric is Microsoft's answer to Docker Swarm and Kubernetes.
Some tenants want a cheap shared setup, others an isolated one. How we keep LLM costs, vendor swaps and per-tenant deployments manageable with Temporal.
When one question to an AI assistant sets off several tool calls, any can fail halfway. How we made a Chainlit RAG chatbot durable with Temporal, with the code.
How we designed Fiber Copilot to stand up chatbots and copilots on your own data, in your own cloud, with the parser, vector store and model you choose.
Off-the-shelf or custom CRM? Buy when your sales process is standard. Build when the workflow is your product. Most firms do best buying and extending.
The Dynamics 365 quote process state by state, with the product catalog it needs. Templates and PDFs, approvals in Power Automate, and quote to order.
What Databricks is, what changed between 2024 and 2026, how the bill works and how to read it, and the governance and lock-in questions to settle first.
Small automation requests swamping your IT team? How Power Automate takes them off engineers, and what to check first, from licences to AI Builder credits.
The AI worth building usually needs two departments' data. How Amazon and KLM joined theirs to cut waste, and how to find the same opportunity in your company.
How to make one test suite check every release in each environment, browser and screen size your customers use, from GitHub Actions, without rewrites.
Why companies migrate to Dynamics 365 CRM in 2026, from on-premises Dynamics CRM, Salesforce and ERP-only estates. The dates, the prices and the route.
Twelve things to get right when hiring Databricks specialists in-house, from people who have built the teams and know what they screen for.
Retries, idempotency and state across services used to take more time than the business logic. A senior developer on what changed after adopting Temporal.
A prompt can follow every rule and still get a confident, wrong answer from generative AI. One real prompt taken apart, fixed and tested before users see it.
Logistics robots are the largest category of service robot. What they need from your ERP and warehouse system, what Dynamics 365 offers, and what to fix first.
Weighing Temporal for workflows that must survive failures in production? What our engineers learned modelling ticket purchases, returns and delayed flights.
Cypress component testing mounts one React component in a real browser. A working setup on Vite, tests with data-cy selectors and spies, and when to use it.
Durable execution for teams whose order, payment or onboarding flows break halfway. How Temporal records every step and survives crashes, and where it stops.
How organizations improve data visibility. Report off the database, add a read replica or build a warehouse, then use lineage to see how data changed.
Why an app's interface slows the team down as it grows, and how a design system keeps one change one edit, with tokens, shared components and CI checks.