Production AI Workflows & Multi-Agent Blueprints

Bloomberg reported Temporal is in talks for a roughly $500 million round at a valuation of at least $12 billion, more than doubling its February 2026 $5 billion Series D — durable execution has become the agent backbone. This dispatch builds duragent, a LangGraph workflow with checkpoint-and-replay semantics: every node result persists to Redis, crashes resume from the latest checkpoint, side effects dedupe on step IDs, and a saga node reverses partial work on failure.

Anthropic reported its unreleased frontier model made significant progress on the Riemann Hypothesis by testing 650 ideas across 60 subagents with 31 million tokens, formalizing the confirmed findings in Lean. This dispatch builds leanverify, a LangGraph formal-verification workflow that decomposes a conjecture, fans out parallel research subagents, gates every promising lemma on a Lean compile, dedupes failed ideas in a shared registry, and publishes a verified-claims ledger.

On August 13, 2026 OpenAI previewed Ultrafast, a service tier running GPT-5.6 Sol up to 14x faster on Cerebras wafer-scale engines at 750 tokens per second. This dispatch builds fastres, a LangGraph incident-response workflow with a latency-critical fast path, a hot diagnostics cache, a premium-budget guard, and degraded fallback to standard inference. It routes S1/S2 events to the fast tier, verifies root-cause hypotheses, drafts a runbook, gates on human approval, and closes with a post-incident review.

Agent quality is a moving target — a model update can shift pass rates overnight. This LangGraph workflow builds a golden task suite, runs agents in parallel Map-Reduce style, scores pass rates and cost per task, diffs against a pinned baseline, and ends in a hard go/no-go promotion gate.

Teams run Cursor, Claude Code, and terminal agents — but nobody decides which agent runs which ticket. This LangGraph orchestrator decomposes work, routes subtasks to the cheapest capable agent via a live cost table, reviews every diff, and refuses to merge until a unified SWE-bench-style eval gate and a human sign-off.

AI compute now follows power, not the other way around. This LangGraph workflow watches live energy prices and grid carbon intensity, holds training for cheap windows, gates expensive runs behind human approval, and carries a power-shutdown safety rail for interruptible-tariff campuses.

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Gemini Spark dropped from the $99.99 Ultra tier to the $19.99 AI Pro plan on July 25, 2026, making always-on personal agents a consumer product. This workflow builds spark-sleeper, a LangGraph pipeline that runs a personal agent 24/7 on cloud compute: it ingests tasks from any device, wakes on schedule or trigger, executes long-running work with a durable task queue, checks every spend against a hard monthly cap, and reports results back to the user's channel of choice — the Gemini Spark pattern as an open workflow you control.

Assort Health raised a $120M Series C at a $1.2B valuation in August 2026, expanding from voice AI into an agentic system for the whole patient journey. This workflow builds care-flow, a LangGraph pipeline for healthcare front offices: a voice agent answers inbound calls, triages the request with structured symptom intake, books or reschedules appointments against the practice schedule, and routes anything clinically uncertain through a human escalation gate before any medical decision.

Google's agentic shopping features now place real calls to stores, and consumer callers like Assindo navigate IVR menus and hold queues. This workflow builds call-runner, a LangGraph pipeline that makes outbound calls for a user: it plans the call from a task brief, dials through Twilio, navigates IVR menus with speech recognition, handles hold queues, executes the script, and logs a completion verdict — done, needs callback, or failed — with a transcript the user can check.