What did your AI bot
just break?

Quick Diagnosis:AI agents loop because standard retry logic treats unexpected errors by rewriting prompts and re-executing tools indefinitely. Exogram stops runaway loops by enforcing hard per-task call budgets and instant circuit breakers that cut execution cold after three failed attempts.

Quick Diagnosis:AI agents drop tables because models prioritize resolving errors quickly, and recreating a broken table often appears easier than running complex migrations. Exogram enforces immutable database invariants that intercept and block destructive SQL statements before they touch your connection pool.

Quick Diagnosis:Support chatbots promise unauthorized refunds because language models are trained to please users and avoid conflict. Exogram places hard validation boundaries on payment and refund tool calls, blocking any discount or payout above your approved dollar limit without human approval.

Quick Diagnosis:System prompts fail to stop prompt injection because transformer models cannot distinguish between trusted developer instructions and untrusted user inputs in the token stream. Exogram enforces deterministic code-level execution gates that block dangerous actions regardless of what the model decides.

Quick Diagnosis:Multi-agent frameworks get amnesia because passing full conversation histories between bots quickly exceeds attention span, burying original constraints under bot-to-bot chatter. Exogram maintains a clean, structured SQLite state ledger outside the prompt, feeding agents verified facts without context bloat.

Quick Diagnosis:AI coding agents execute dangerous shell commands because models generate plausible commands based on training data without understanding your local directory context. Exogram intercepts terminal tool calls in 0.07ms, blocking destructive commands, unauthorized curls, and recursive deletions before execution.

Quick Diagnosis:Standard RAG retrieves outdated documents because vector databases measure semantic similarity, not temporal validity. A superseded policy with high cosine similarity (0.94) easily beats a newer policy with different wording. Exogram enforces temporal validity checks before context reaches the model.

Quick Diagnosis:AI agents fabricate records because models are trained to fulfill user goals. When an API or database query fails, the model generates plausible data to keep moving forward. Exogram requires cryptographic transaction proofs before marking any task complete.

Quick Diagnosis:Multi-agent systems drift because passing summaries between agents strips nuances and negative constraints. An instruction to "review billing complaints" turns into "issue immediate refunds" by agent 4. Exogram coordinates agents through a shared, immutable entity ledger.

Quick Diagnosis:AI agents confuse guesses with facts because AI models represent all statements as flat text tokens. An informal comment saying "I think John might resign" has the same weight as a signed resignation letter. Exogram verifies sources, blocking high-risk actions based on unverified rumors.

Quick Diagnosis:AI bots mix up customers when multiple accounts memories are stored in the same vector index without physical tenant isolation. Semantic similarity causes the bot to retrieve customer A preferences while serving customer B. Exogram enforces hardware-isolated SQLite tenant namespaces.

Quick Diagnosis:AI agents degrade after 10 steps because attention mechanisms weaken as token counts grow. Instructions from step 1 get pushed to the margins of the prompt window. Exogram maintains system state in an external SQLite substrate, giving the model only relevant facts.