All Articles
Keep Your Flash-to-Pro Routing Threshold Honest with Shadow Re-evaluation
A Flash-generates, Pro-on-low-confidence router starts drifting the moment you hand-pick its threshold. This is a working build of a loop that samples your kept-Flash outputs, scores them against Pro, and recalibrates the threshold from a quality budget.
Running Gemini Chat History on Redis — Field Notes on Not Losing Conversation State in Production
Keep a Gemini ChatSession in process memory and it evaporates on every redeploy or scale event. Here is how I back it with Redis in production, covering token budgets, concurrent sends, SDK coupling, and graceful degradation, with the code I actually run.
Watching the 'Voice' of Generated Text: Catching a Silent Default-Model Swap Through Style Drift
When the default model changes over your head, the output can stay factually correct while its voice quietly shifts. This walks through fingerprinting the style of generated text and detecting drift statistically, with a dependency-free implementation you can drop into your pipeline.
Catching Deprecated Gemini Models in CI ― A Guard for Back-to-Back Shutdown Deadlines
When shutdowns and deprecations pile up, build a CI check that mechanically finds stale Gemini model strings across your repo. Includes a deprecation registry, a scanner, and a days-remaining warn/fail tier you can copy and run.
Before You Let a Managed Agent Ship: Designing Your Own Acceptance Gate
Let the public-preview Managed Agents generate files and broken artifacts will flow straight into production. Here is how to build a verification gate that artifacts must pass before you accept them, with runnable Python and a rejection-feedback loop.
Harden the Layer Before Gemini Sees User Media — A Validation Pipeline You Can Actually Run
Piping user-uploaded images and video straight into Gemini walks you into MIME spoofing, EXIF leaks, decompression bombs, and video that isn't ready yet. Here's the validation layer—magic-byte sniffing, Files API state polling, and cleanup—built up in working code.
Wiring Gemini Managed Agents Into Your Automation: Keeping Conversation State and Environment State Apart
Managed Agents spin up a Linux sandbox, run an agent loop, and return a result in a single API call. The first thing that trips you up when moving off a hand-rolled loop is that conversation state and file state are two separate things. Here's that design, worked through live.
Don't Break When the Default Model Moves: A Startup Capability-Probing Layer for Gemini
Pinning a model name breaks on deprecation; trusting the default breaks when the weights swap silently. This is the design I settled on: probe what the served model can actually do at startup, then build every request from that answer. Includes runnable Python.
Your Gemini Live API session forgets the conversation every time it reconnects — field notes on token refresh and session resumption
Why a Gemini Live API WebSocket drops the conversation and the user's in-flight speech on every reconnect, and how to close the gap with single-use ephemeral tokens, session resumption handles, and the goAway warning.
Processing Thousands of Sheet Rows with Gemini from Apps Script — Beating the 6-Minute Limit with Chunking and Idempotency
How to stop Apps Script batch jobs from dying at the 6-minute limit: trigger-based continuation, a status-column idempotency design, and exponential backoff that carries thousands of rows to completion.
Put Help Docs and Screenshots in One File Search Store and Return Answers That Cite the Image Too
Your text help docs and your screenshots live in separate stores, so a single question can never return both the steps and the matching screen. With gemini-embedding-2 going multimodal in File Search, here is how I merged them and returned the cited screenshot alongside the answer.
When Your Firestore × Gemini Embeddings RAG Quietly Degrades — Designing for Re-Embedding
A RAG built on Firestore native vector search and Gemini Embeddings drifts when the embedding model changes generations, and retrieval quality drops with no errors. Here is how to detect the drift, re-embed without downtime, and keep retrieval cost in check.